List of mass spectrometry software

Last updated

Mass spectrometry software is used for data acquisition, analysis, or representation in mass spectrometry.

Contents

Proteomics software

In protein mass spectrometry, tandem mass spectrometry (also known as MS/MS or MS2) experiments are used for protein/peptide identification. Peptide identification algorithms fall into two broad classes: database search and de novo search. The former search takes place against a database containing all amino acid sequences assumed to be present in the analyzed sample. In contrast, the latter infers peptide sequences without knowledge of genomic data.

Database search algorithms

NameTypeDescription
AndromedaFreewareAndromeda is a peptide search engine based on probabilistic scoring, developed by Jürgen Cox and others at the Max Planck Institute of Biochemistry. It can handle data with arbitrarily high fragment mass accuracy and is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides. It can function independently or integrated into other software, enabling analysis of large datasets on a desktop computer. [1]
ByonicProprietaryByonic is a database search algorithm released in 2011 by Protein Metrics Inc. with original developments at PARC. [2] It searches MS/MS data from all types of instruments and internally employs the program Combyne, [3] which combines peptide identifications to produce protein scores and identification probabilities.
CHIMERYSProprietaryCHIMERYS is a cloud-native database search algorithm that makes heavy use of artificial intelligence for the identification of peptides and the deconvolution of chimeric spectra. CHIMERYS is developed by MSAID GmbH, which was started at the Technical University of Munich.
CometOpen sourceComet is a command-line database search algorithm developed at the University of Washington. It takes in spectra in supported input formats and writes out .pep.xml, .pin.xml, .sqt and/or .out files. [4]
GreylagOpen sourceGreylag is a database search algorithm developed at the Stowers Institute for Medical Research designed to perform large searches on computational clusters containing hundreds of nodes.
InsPecTOpen sourceInsPecT is an MS-alignment search algorithm developed by the Center for Computational Mass Spectrometry at the University of California, San Diego. [5]
Mascot ProprietaryMascot performs mass spectrometry data analysis through a statistical evaluation of matches between observed and projected peptide fragments. [6]
MassMatrix FreewareMassMatrix is a database search algorithm for tandem mass spectrometric data. It uses a mass accuracy-sensitive, probabilistic scoring model to rank peptide and protein matches.
MassWizOpen sourceMassWiz is a search algorithm developed at the Institute of Genomics and Integrative Biology that can be used as a Windows command-line tool.[ citation needed ]
MetaMorpheusOpen sourceMetaMorpheus is a proteomics search software developed at the University of Wisconsin-Madison with integrated calibration, post-translational modification discovery, bottom-up and top-down proteomics search, cross-linking mass spectrometry (XL-MS) search, proteogenomic search, and label-free quantification (LFQ) capabilities. [7]
MSFraggerFreewareMSFragger is a database searching tool based on efficient fragment ion indexing developed at the University of Michigan. It is capable of open (mass-tolerant) searches for post-translational modification discovery, O- and N-linked glycoproteomics searches, semi- and non-enzymatic searches, and traditional database searches. [8]
MS-GF+Open sourceMS-GF+ (also known as MSGF+ or MSGFPlus) performs peptide identification by scoring MS/MS spectra against peptides derived from a protein sequence database. MS-GF+ was developed at the Center for Computational Mass Spectrometry at the University of California, San Diego, with later work at Pacific Northwest National Laboratory (PNNL).
MS-LAMPOpen SourceMS-LAMP is a standalone software capable of aiding in interpreting electrospray ionization (ESI) and/or matrix-assisted laser desorption and ionization (MALDI) mass spectrometric data of lipids. [9]
MyriMatchOpen sourceMyriMatch is a database search program developed at the Vanderbilt University Medical Center designed to run in a single-computer environment or across an entire cluster of processing nodes. [10]
NIST Mass Spectral Search v.3.0Commercial ProgramThis software contains the NIST/EPA/NIH Mass Spectral Library of electron ionization (EI) and the NIST Tandem Library of product-ion mass spectra in a searchable database. Additional features include the NIST MS Interpreter Program and AMDIS. It was developed by the National Institute of Standards and Technology. [11]
OMSSAFreewareThe Open Mass Spectrometry Search Algorithm (OMSSA) is a search engine for identifying MS/MS peptide spectra by searching libraries of known protein sequences. OMSSA identifies significant hits with a probability score developed using classical hypothesis testing, the same statistical method used in BLAST. It is developed at the National Center for Biotechnology Information. [12] [13]
PEAKS DB ProprietaryPeaks DB is a database search engine, run in parallel with de novo sequencing to automatically validate search results, allowing for more found sequences for a given false discovery rate. In addition to providing an independent database search, results can be incorporated as part of the software's multi-engine (Sequest, Mascot, X!Tandem, OMSSA, PEAKS DB) consensus reporting tool inChorus. [14] The tool also provides a list of sequences identified exclusively by de novo sequencing.
pFindFreewarepFind Studio is a computational solution for mass spectrometry-based proteomics. It was developed in 2002 in the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
PhenyxProprietaryPhenyx is a sequence database search engine developed by Geneva Bioinformatics (GeneBio) in collaboration with the Swiss Institute of Bioinformatics (SIB). Phenyx incorporates OLAV, a family of statistical scoring models, to generate and optimize scoring schemes that can be tailored for all kinds of instruments, instrumental set-ups and general sample treatments. [15]
ProbIDOpen sourceProbID is a software tool designed to identify peptides from tandem mass spectra using a protein sequence database. It was developed at the Bioinformatics Group, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. [16]
ProLuCIDFreewareProLuCID is an algorithm for peptide identification using tandem mass spectrometry and protein sequence databases recently developed by Tao Xu and others in the Yates laboratory at The Scripps Research Institute. [17]
ProSightPC and ProSightPDProprietaryProSightPC/PD are software tools for searching peptide and protein tandem mass spectrometry data against UniProt-derived databases to identify and characterize proteoforms.
ProteinPilot SoftwareProprietaryProteinPilot uses Paragon database search algorithm that combines the generation of short sequence tags (‘taglets’) for computation of sequence temperature values and estimates of feature probabilities to enable peptide identification. It considers hundreds of modifications, non-tryptic cleavages, and amino acid substitutions. It uses the Pro Group Algorithm for protein inference analysis to report a minimal set of proteins justified based on the peptide evidence. ProteinPilot supports quantification for label-based workflows (iTRAQ reagents, mTRAQ reagents and SILAC labeling). A translation layer converts user interface controls in the language of a proteomics scientist to underlying complex informatics parameters. [18]
Protein ProspectorOpen sourceProtein Prospector is a package of about twenty proteomic analysis tools developed at the University of California San Francisco. The tandem mass spectrometry searching software is Batch-Tag and Batch-Tag Web, with the results processed and displayed using Search Compare.
RAIdLostRAId was developed at the National Center for Biotechnology Information, Robust Accurate Identification (RAId) [19] is a suite of proteomics tools for statistical analysis of tandem mass spectrometry data. [20]
SEQUEST ProprietarySEQUEST is a MS data analysis program used for protein identification. It correlates collections of tandem mass spectra to peptide sequences that have been generated from databases of protein sequences. [21]
SIMSOpen sourceSIMS was designed to perform unrestricted PTM searches over tandem mass spectra. [22]
SimTandemFreewareSimTandem is a database search engine for identification of peptide sequences from LC/MS/MS data. The engine can be used as an external tool in OpenMS/TOPP. [23]
SQIDOpen sourceSeQuence IDentification (SQID) is an intensity-incorporated protein identification algorithm for tandem mass spectrometry.
Tide (rewrite of Crux)Open sourceTide is a tool to identify peptides from tandem mass spectra. It is an independent re-implementation of the SEQUEST algorithm, which identifies peptides by comparing the observed spectra to a catalog of theoretical spectra derived in silico from a database of known proteins. The immediate ancestor of Tide is Crux, but Tide was re-engineered to achieve speed improvement while replicating SEQUEST XCorr scores. It was developed at the University of Washington. [24]
TopMGOpen sourceTopMG (Top-down mass spectrometry-based proteoform identification using Mass Graphs) is a software tool for identifying ultra-modified proteoforms by searching top-down tandem mass spectra against a protein sequence database. It is capable of identifying proteoforms with multiple variable PTMs and unexpected alterations, such as histone and phosphorylated proteoforms, using mass graphs. Approximate spectrum-based filtering methods are employed for protein sequence filtering, and a Markov chain Monte Carlo method (TopMCMC) is used for estimating the statistical significance of identifications. [25]
TopPICOpen sourceTopPIC (Top-down mass spectrometr/y-based Proteoform Identification and Characterization) identifies and characterizes proteoforms at the proteome level by searching top-down tandem mass spectra against a protein sequence database. TopPIC is a successor to MS-Align+. It identifies proteoforms with unexpected alterations, such as mutations and post-translational modifications (PTMs), estimates the statistical significance of identifications, and characterizes reported proteoforms with unknown mass shifts. Techniques used such as indexes, spectral alignment, generation function methods and the modification identification score (MIScore) seek to increase speed, sensitivity, and accuracy. [26]
X!TandemOpen sourceX!Tandem matches tandem mass spectra with peptide sequences.
WsearchVS2020FreewareWsearchVS2020 is a data analysis software that can display spectra acquired on commercial MS instruments and can also search/match the NIST commercial database.

De novo sequencing algorithms

De novo peptide sequencing algorithms are, in general, based on the approach proposed in Bartels et al. (1990). [27]

NameTypeDescription
CycloBranchOpen sourceCycloBranch is a stand-alone, cross-platform and open-source de novo engine for identification of nonribosomal peptides (linear, cyclic, branched and branch-cyclic) from accurate product ion spectra. [28]
DeNoSSequencing of peptides uses all information from CAD and ECD spectra; it is part of the software tool Proteinmatching Analysis Software (PAS) which in turn is part of the software package Medicwave Bioinformatics Suite (MBS). [29]
DeNovoXProprietaryDe novo sequencing on CID spectra acquired with ion trap mass spectrometers delivers complete and/or partial peptide sequences (sequence tags). [30]
LutefiskOpen sourceThis is software for the de novo interpretation of peptide CID spectra.
NovorProprietary, free for academic researchThis real-time de novo peptide sequencing engine is claimed to be fast, accurate and easily integrated into research pipelines.
PEAKS ProprietaryPEAKS provides de novo sequencing for each peptide, confidence scores on individual amino acid assignments with manually assisted mode and automated de novo sequencing on an entire LC run, with data processed faster than 1 spectrum per second. [31] [32]
SupernovoProprietaryThis software automates de novo sequencing of monoclonal antibodies. [33]
CasanovoOpen sourceCasanovo is a machine learning model that uses a transformer neural network architecture to translate the sequence of peaks in a tandem mass spectrum into the sequence of amino acids that comprise the generating peptide, enabling de novo peptide sequencing without prior information. [34]
InstaNovoOpen sourceInstaNovo is a transformer neural network that can translate fragment ion peaks into the sequence of amino acids that make up the studied peptide(s), enabling de novo peptide sequencing without prior information. Trained on 28 million labeled spectra, it outperforms current state-of-the-art methods on benchmark datasets. InstaNovo+, a multinomial diffusion model built upon human intuition, further improves performance through iterative refinement of predicted sequences. [35]

Homology searching algorithms

NameTypeDescription
MS-HomologyOpen sourceMS-Homology is a database search program within the Protein Prospector package that permits searching with strings that combine masses and amino acid stretches and where one can specify the number of amino acid mismatches allowed.
SPIDERProprietaryThe SPIDER algorithm matches sequence tags with errors to database sequences for the purpose of protein and peptide identification and can be used in conjunction with PEAKS mass spectrometry data analysis software.

MS/MS peptide quantification

NameTypeDescription
BACIQOpen sourceBACIQ is a mathematically rigorous approach that integrates peptide intensities and peptide-measurement agreement into confidence intervals for protein ratios.
ByosProprietaryByos commercial software allows XIC of peptide level mass spec data from any MS vendor and relative quantity of PTM vs unmodified. It is specialized for biopharmaceutical applications.
DIA-NNFreewareThis automated quantitative Data-independent acquisition-proteomics software, developed by the Demichev and Ralser labs at the Charité in Berlin, Germany, implements a machine-learning algorithm based on an ensemble of deep neural networks, to boost proteomic depth and reliability of peptide and protein identification. DIA-NN is optimized for processing of large-scale experiments. It supports DIA-based profiling of PTMs, such as phosphorylation and ubiquitination, new technologies such as Scanning SWATH [36] and dia-PASEF, [37] and can perform library-free analyses (acts as a database search engine). [38]
FlashLFQOpen sourceFlashLFQ is an ultrafast label-free quantification algorithm for mass-spectrometry proteomics. [39] FlashLFQ is also bundled into MetaMorpheus search software, which is described above.
MarkerView SoftwareProprietaryThis commercial software is for statistical analysis of quantitative mass spec data sets from metabolomics and proteomic profiling applications.
Mascot DistillerProprietaryThis software for peak picking and raw data preprocessing has an optional toolbox for label-free quantification, as well as isobaric labeling and isotopic labeling. It supports raw file formats from all major instrument vendors.
Mascot ServerProprietaryThe search engine supports quantification based on isobaric labeling as long as all the required information is part of the MS/MS spectrum.
MassChroQOpen sourcePeptide quantification analysis of label-free or various isotopic labeling methods (SILAC, ICAT, N-15, C-13 ...) works with high and low resolution spectrometer systems and supports complex data treatments, such as peptide or protein fractionation, prior to LC-MS analysis (SCX, SDS-PAGE, etc.).
MaxQuant FreewareQuantitative proteomics software developed by Jürgen Cox and others at the Max Planck Institute of Biochemistry in Martinsried, Germany was written in C#, which allows the analysis of label free and SILAC-based proteomics experiments. MaxQuant uses the andromeda search engine for the interpretation of the MS/MS spectra. [40] [1]
MultiQuant SoftwareProprietaryThis software can process quantitative data sets from TripleTOF or QTRAP systems, including MRM and SWATH Acquisition.
OpenMS / TOPPOpen sourceThe software C++ library for LC-MS/MS data management and analysis offers an infrastructure for the development of mass spectrometry-related software. It allows peptide and metabolite quantification and supports label-free and isotopic-label-based quantification (such as iTRAQ and TMT and SILAC) as well as targeted SWATH-MS quantification. [41]
OpenPIPWebsite, open accessOpenPIP is a tool developed by InterVenn Biosciences to integrate peaks acquired in multiple reaction monitoring (MRM) experiments. The software is powered by recurrent neural networks and guided by a large collection of manually-annotated chromatographic peaks.
ProtMaxFreewareProtMAX [42] is a software tool for analyzing shotgun proteomics mass spectrometry data sets, developed by Volker Egelhofer at the University of Vienna.
Skyline Open sourceSkyline is open source (Apache 2.0) Windows client software developed in the MacCoss lab at University of Washington. [43] It supports building Selected Reaction Monitoring (SRM) / Multiple Reaction Monitoring (MRM), Parallel Reaction Monitoring (PRM - Targeted MS/MS), Data Independent Acquisition (DIA/SWATH) and targeted DDA with MS1 quantitative methods and analysis of the resulting mass spectrometer data.
SpectronautProprietaryBiognosys AG (Schlieren, Switzerland) developed this commercial software for quantitative proteomics based on the mProphet algorithm [44] that allows the targeted analysis of data independent acquisition (DIA) data sets for label-free peptide quantitation, also called SWATH acquisition. [45]
SWATH Software 2.0ProprietaryThis commercial software processing tool within PeakView allows targeted data processing of SWATH acquisition data. Using a protein/peptide ion library, fragment ion extracted ion chromatograms (XICs) are generated, scored and quantified for peptides from the library. After false discovery rate analysis (FDR), results are filtered and quantitative peptide/protein data can be exported for statistical analysis.

Other software

NameTypeDescription
Advanced Chemistry Development ProprietaryACD offers commercial solutions for the interpretation of MS and xC/MS data with spectrum/structure matching, identification of known and unknown metabolites, as well as identification of compounds through spectral comparison.
AMDISFreewareNIST created this software for GC/MS data in various formats. It deconvolutes coeluting mass spectra, displays mass chromatograms, calculates retention indexes, allows for target compound libraries, and will export spectra to the NISMS Mass Spectral Search Program.
AnalystProprietaryAnalyst was created by AB Sciex, a division of The Danaher Corporation, for control of LC-MS/MS systems.
AnalyzerProProprietaryAnalyzerPro is a vendor-independent software application from SpectralWorks for processing mass spectrometry data. It can process both GC-MS and LC-MS data using qualitative and quantitative data processing and is used in metabolomics with MatrixAnalyzer for the comparison of multiple data sets. It was recently extended to include statistical analysis and visualization tools (PCA). AnalyzerPro XD is a 64-bit version that includes support for 2 dimensional data processing such as GCxGC-MS.
ArtIST by Clover BiosoftProprietaryArtificial Intelligence Strain Typing is an online service offering MALDI-TOF MS data analysis and biomarker discovery tools, based on artificial intelligence and machine learning algorithms.
ASCENTProprietaryASCENT is an LC and GC-MS data analysis automation tool, provided as SaaS over a cloud platform. It uses machine learning algorithms to analyze MS plots and reduce the amount of manual review required.
CFM-IDOpen sourceThis software is for in-silico ESI-MS/MS spectra prediction, MS/MS spectra annotation, and compound identification based on an MS/MS spectrum. It was developed in Wishartlab [46] [47] [48] [49]
ChromeleonProprietaryChromeleon is Thermo Fisher Scientific software used with mass spectrometry instruments, as well as chromatography instruments.
Clover MSDASProprietaryCloud-based platform for data analysis with FTIR and MALDI TOF MS data. Subtyping and AMR detection in FTIR and MALDI spectra. Biomarker analyisis, Quality control, reproducibility studies and training of machine learning models.
CrosslinxOpen sourceIdentify cross-linked peptides from mzML files and use Python script or standalone executables for Linux and Windows. It is feasible to use with bigger databases with a two-step approach. [50]
DataAnalysisProprietarySoftware by Bruker used with mass spectrometry instruments.
DeNovoGUIOpen sourceThe software has a graphical user interface for running parallelized versions of the freely available de novo sequencing software tools Novor and PepNovo+. [51]
EasotopeOpen sourceEasotope software archives, organizes, and analyzes mass spectrometer data. It is currently oriented toward clumped CO2 analysis but is also useful for bulk CO2 work and expandable to other isotopic systems.
El-MAVENOpen-sourceDesktop software by Elucidata processes labeled LC-MS, GC-MS and LC-MS/MS data in open-formats (mzXML, mzML, CDF). The software has a graphical and command line interface with integration to a cloud platform for storage and further analyses like relative flux and quantification. [52]
ESIprotESIprot can determine charge state and calculate molecular weight for low resolution electrospray ionization (ESI) mass spectrometry (MS) data of proteins. [53]
ExpressionistProprietaryExpressionist is software for processing, analyzing, and reporting mass spectrometry data in application areas such as biotherapeutics characterization, quality monitoring, and related proteomics and metabolomics applications. It was developed by Genedata.
HIquantOpen sourceThis first-principles model and algorithm quantifies proteoform stoichiometries from bottom-up data. [54]
KnowItAll Spectroscopy Software & Mass Spectral LibraryProprietarySoftware from Wiley with applications for mass spectrometry including: spectral analysis, database searching (spectrum, structure, peak, property, MS Adaptive Search, etc.), processing, database building (MS or multiple techniques including IR, Raman, NMR, UV, Chromatograms), spectral subtraction, plus tools for reporting and ChemWindow structure drawing, and MASSTransit file conversion software (updated with more formats).
LabSolutions LCMSProprietarySoftware by Shimadzu Corporation is used with mass spectrometry and HPLC instruments.
LipidXplorerOpen sourceA high-throughput lipid identification software from shotgun mass spectra written in Python. [55]
Mass++Open sourceAnalysis software for mass spectrometry can import and export files with open-formats (mzXML, mzML) and load some instrument vendor formats; users can develop and add original functions as Mass++ plug-ins.
MassBankOpen sourceMassBank and RMassBank development website is provided by the MassBank consortium. MassBank data are shared under a Creative Commons license.
MassBank.euWebsiteEuropean MassBank server. The website is maintained and hosted by the Helmholtz Centre for Environmental Research (Leipzig, Germany). MassBank.eu is a core of the NFDI4Chem consortium.
MassBank.jpWebsiteWebsite hosted by the Institute for Advanced Biosciences, in Keio University, Tsuruoka City, Yamagata, Japan with mass spectrometric data for organic compounds.
MassCenterProprietarySoftware by JEOL used with mass spectrometry instruments.
Mass FrontierProprietarySoftware by HighChem used for interpretation and management of mass spectra of small molecules.
MassLynx ProprietarySoftware by Waters Corporation for analytical instrument control.
MassMapProprietaryGeneral-purpose software suite for automated evaluation of MS data by MassMap GmbH & Co. KG. It is suitable for LC/MS and GC/MS data of all kinds of molecules, the analysis of intact mass spectra of proteins, the analysis of general HDX experiments and the HDX fragment analysis of peptides, with particular methods for the identification of unexpected/unknown components in very complex mixtures.
Mass MountaineerProprietaryQualitative analysis and reporting software includes chemometric functions for working with one or more text-format mass spectra.
Mass-UpOpen-sourceUtility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data that loads data from mzML, mzXML and CSV files. It allows users to apply baseline correction, normalization, smoothing, peak detection and peak matching. In addition, it allows the application of different machine learning and statistical methods to the pre-processed data for biomarker discovery, unsupervised clustering and supervised sample classification. [56]
massXpertOpen source GPLGraphical user interface-based (GUI) software for simulating and analyzing mass spectrometric data obtained on known bio-polymer sequences. [57] It is a successor to polyxmass and a program of the msXpertSuite software suite.
Mestrenova ProprietaryA vendor-independent software for processing chromatography (LC, GC, SFC) data with any combination of detectors, e.g. LC-MS-UV-VIS, GC-MS, SFC-MS-UV in one environment. This multiplatform and web-based software was created by Mestrelab Research, S.L.
matchmsOpen sourcePython library imports, cleans, processes and quantitatively compares MS/MS spectra and was developed at the Netherlands eScience Center. [58]
METASPACEFree and open-sourceCloud platform for metabolite and lipid identification and a community-populated knowledge base of spatial metabolomes, with thousands of public datasets shared by the users: metaspace2020.eu. It also provides capacities for online data visualization, sharing, and publishing.
METLIN Database and Technology PlatformProprietaryTandem mass spectrometry (MS/MS) database of over 930,000 (as of December 2023) [59] metabolites and other molecular entities, generated from high resolution quadrupole time-of-flight tandem mass spectrometry. [60] It also includes, ion mobility, [61] neutral loss, [62] and LC/MS data. [63] [64]
mineXpertOpen source GPLThis graphical user interface-based (GUI) software for mass spectral data visualization/mining supports ion mobility mass spectrometry [65] [66] and is a program of the msXpertSuite software suite.
mMassOpen sourceMulti-platform package of tools for mass spectrometric data analysis and interpretation written in Python (no longer developed).
MolAnaMolAna was developed by Phenomenome Discoveries Inc, (PDI) for use in IONICS Mass Spectrometry Group's 3Q Molecular Analyzer, Triple quadrupole mass spectrometer.
msAxelProprietarySoftware used by JEOL time-of-flight mass spectrometers
msFineAnalysisProprietaryQualitative analysis software for JEOL GC-MS systems. The msFineAnalysis AI version for JEOL's GC-time-of-flight mass spectrometers contains a searchable in-silico database of mass spectra calculated for the 100 million structures in the PubChem database.
MSGraphOpen sourceThis tool does qualitative analysis of mass spectrometric (MS) data and is hosted by Sourceforge.
MSightFreewareSoftware for mass spectrometry imaging developed by the Swiss Institute of Bioinformatics. [67]
MSiReaderFreewareVendor-neutral interface built on the Matlab platform designed to view and perform data analysis of mass spectrometry imaging (MSI) data. [68] Matlab is not required to use MSiReader.
MS InterpreterFreewareSoftware by NIST for compression of structure with mass spectra. The program seeks to find mechanisms and their rates for all fragmentation types (EI, Tandem positive and negative mode) and correlates mass spectral peaks to a probable origin structure. It contains an isotope calculator and other features and on-line help. This program is a companion to the NIST Spectra Search Program, v.3.0. It is usable as a standalone with the import of a structure and spectrum.
mspireOpen-sourceMspire is an MS informatics developer's toolbox, written in ruby, that includes an mzML reader/writer, in-silico digestion and isotopic pattern calculation, etc. Submodules such as mspire-lipidomics, mspire-sequest, and mspire-simulator extend the functionality. [69]
MSqRobOpen-sourceThis is an "R" package with graphical user interface for differential abundance analysis of label-free quantitative proteomics data. [70] [71] [72]
ms2mzFreewareUtility converts between mass spectrometer file formats, e.g. to convert proprietary binary files to MGF peak list files, to prepare for upload to Proteome Cluster.
MultimagingProprietarySoftware for mass spectrometry imaging designed to normalize, validate and interpret MS images.
multiMS-toolboxOpen sourceMS-alone and multiMS-toolbox is a tool chain for mass spectrometry data peak extraction and statistical analysis.
mzCloudWebsiteWeb-based mass spectral database that comprises a collection of high and low resolution tandem mass spectrometry data acquired under a number of experimental conditions.
MZmineOpen sourceAn open-source software for mass spectrometry data processing, with the main focus on LC-MS data.
OmicsHub ProteomicsLaboratory information management software for mass spectrometry information management and data analysis.
OpenChrom Open sourceChromatography and mass spectrometry software that can be extended using plug-ins and can run on several operating systems (Microsoft Windows, Linux, Unix, Mac OS X) and processor architectures (x86, x86_64, ppc). It has converters for the native access of various data files, e.g. converters for mzXML, netCDF, Agilent, Finnigan and Varian file formats.
ORIGAMIOpen sourceThe ORIGAMI software suite is for analysis of mass spectrometry and ion mobility mass spectrometry datasets. It was originally developed to improve the analysis workflows of activated IM-MS/collision-induced unfolding (CIU) datasets and allow seamless visualization of results. Recently, ORIGAMI was modified to be more accepting of non-MS centric and enables visualization of results from other sources as well as the exporting of results in an interactive format, where the user can share any dataset and visualize results in an internet browser. [73]
PatternLabFreewareSoftware for post-analysis of SEQUEST, ProLuCID or Comet database search results filtered by DTASelect or Census. [74]
pyOpenMS Open sourcepyOpenMS is an open-source Python library for mass spectrometry, specifically for the analysis of proteomics and metabolomics data in Python.
PeakselProprietaryThis web-based software for LC/MS data processing supports batch editing and high-throughput experiments. It is "vendor agnostic."
PeakStrainerOpen sourceIntensity-Independent Noise Filtering in FT MS and FT MS/MS spectra for Shotgun Lipidomics (Python) [75]
PeacockOpen sourceMac OS X application developed by Johan Kool that can be used to interpret gas-chromatography/mass-spectrometry (GC/MS) data files.
PeakInvestigatorProprietaryA program designed to detect and deconvolve overlapping MS data, which can increase the effective resolution of spectra by 3-4 times.
PetroOrgProprietarySoftware was developed specifically for analyzing petroleum, but it is also used to analyze "other complex mixtures, including anthropogenic environmental contaminants and natural organic matter." [76]
PinnacleProprietaryA proteomics analysis software with modules for translational proteomics, glycoproteomics, and biopharma analysis. It includes comprehensive quantitation of thousands of proteins across hundreds of samples using DDA, DIA, PRM or SRM with fully integrated statistics and biological interpretation. There is a complete N-linked glycoprotein identification routine and an in-depth analysis in protein characterization, including peptide mapping, error tolerant search and disulfide analysis.
PIQMIeWebProteomics Identifications/quantitations data management and integration service is a web-based tool that aids scalable data management, analysis and visualization of semi-quantitative (SILAC) proteomics experiments. [77]
POTAMOSOpen sourceThis web application calculates mass spectrometry data independently of instrumentation and is focused on a well known protein family of histones whose PTMs are believed to play a crucial role in gene regulation. It calculates the kind, number and combinations of the possible PTMs corresponding to a given peptide sequence and mass.
ProMassProprietaryProMass is an automated biomolecule deconvolution and reporting software package used to process ESI/LC/MS data or single ESI mass spectra. It uses the deconvolution algorithm, ZNova, to produce artifact-free deconvoluted mass spectra. There is also a "lite" browser-based format called ProMass for the Web that does not require any installation or software download.
ProteoIQProprietarySoftware for the post-analysis of Mascot, SEQUEST, or X!Tandem database search results. [78] [79] [80]
PROTRAWLERLC/MS data reduction application that reads raw mass spectrometry vendor data (from several well-known instrument companies) and creates triplet lists {mass, retention time, integrated signal intensity} summarizing the LC/MS chromatogram.
ProteomaticFreewareData processing pipeline created for the purpose of evaluating mass spectrometric proteomics experiments. [81]
ProteomicsToolsOpen sourceSoftware for the post-analysis of MASCOT, SEQUEST, Comet, XTandem, PFind, PeptidePhophet, MyriMatch, MSGF, OMSSA, MSAmanda or Percolator database search results. [82]
ProteoWizard Open sourceLink library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis.
ProteoWorker ProprietaryCloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
ProvisionOpen sourceCloud-based software written in R for analysing proteomics data generated by MaxQuant. This software analyzes differential quantification data and is assisted by tools and visualization options. It is possible to process label-free and tandem mass-tagged data. [83]
pymzMLOpen source Python module to interface mzML data in Python, based on cElementTree with additional tools for MS-informatics. [84]
PyteomicsOpen sourceA Python framework for proteomics data analysis. [85]
QuantemSoftware for ESI-MS quantification without analytical standards. Developed in Kruvelab, distributed by Quantem Analytics.
QuantinetixProprietarySoftware for mass spectrometry imaging designed to quantify and normalize MS images in various study types. It is compatible with a variety of MSI instruments, including Bruker, Sciex, Thermo and with the iMZML data format.
Rational Numbers Excel Add-InProprietaryDe novo identification tool for small molecules that works with Microsoft Excel (2010, 2013, 2016 and 2019). This software treats small molecules as mathematical partitions of the molecular mass and generates subfragment formulas with atoms that are sets of partitions comprising the molecular formula.
Rational Numbers SPSProprietaryThis seeks to identify small molecules by comparing accurate-mass fragmentation data to a database of 250,000 molecules represented as mathematical partitions of the exact molecular masses. SPS (Similar Partition Searching) is designed to rapidly analyze and summarize multiple chromatographic MS/MS datasets acquired by DDA (data dependent acquisition).
REGATTAAn LC/MS list comparison application that works with ProTrawler (but accepts input in Excel/CSV form) to provide an environment for LC/MS results list filtering and normalization {mass, retention time, integrated intensity}.
RemoteAnalyzerProprietarySoftware by SpectralWorks for vendor-independent 'Open Access' client/server-based solutions to provide a "walk-up and use" LC-MS and GC-MS data system. Instrument control and data processing support for multiple vendors' hardware. NMR instrumentation and data processing are also supported.
ScaffoldProprietarySuite of proteomics tools for analyzing spectra, peptides and proteins across multiple samples.
SCIEX OS ProprietaryNext generation software by SCIEX controlling the X-series mass spectrometers, with support for data analysis acquired using the Analyst software suite.
SCiLS LabProprietaryMulti-vendor software for statistical analysis of mass spectrometry imaging data.
SFINXOpen source and webThe straightforward filtering index (SFINX) allows separation of true positive from false positive protein interactions in affinity purification - mass spectrometry and related datasets. [86] [87] It is accessible via its web-interface [86] and as an R package. [88]
SIM-XLFreewareSpectrum Identification Machine for Cross-linked Peptides (SIM-XL) is an XL search engine that is part of the PatternLab for proteomics environment, to analyze tandem mass spectrometry data derived from cross-linked peptides. [89]
SimGlycanProprietaryPredicts the structure of glycans and glycopeptides using mass spectrometry MS/MS data.
SIMION ProprietarySIMION is an ion optics simulation program.
SIRIUS Open source and web serviceAn umbrella application for the annotation of small molecules from LC-MS/MS data.
SpectrolyzerProprietarySpectrolyzer is a Microsoft Windows-based software package developed by Binary Detect (previously named Medicwave) that provides bioinformatics data analysis tools for different mass spectrometers. It focuses on finding protein biomarkers and detecting protein deviations.
SpectromaniaProprietarySoftware for analysis and visualization of mass spectrometric data. [90]
StavroX FreewareSoftware to identify cross-linked peptides from mass spectrometric data written in Java that can be used for a wide variety of cross linkers and proteases used in the cross linking MS experiment; it compares theoretical peptide-peptide cross link combinations for the analyzed proteins to MS/MS data. [91]
Swiss Mass AbacusOpen sourceSwiss Mass Abacus is a calculator of peptide and glycopeptide masses. It is purposefully kept as simple as a basic calculator executing arithmetic operations.
TOF-DSProprietarySoftware by Markes International used with BenchTOF time-of-flight mass spectrometers.
TopFDOpen sourceTopFD (Top-down mass spectral Feature Detection) is a software tool for top-down spectral deconvolution and a successor to MS-Deconv. It groups top-down spectral peaks into isotopomer envelopes and converts them to monoisotopic neutral masses. In addition, it extracts proteoform features from LC-MS or CE-MS data.
Trans-Proteomic Pipeline (TPP) Open sourceThe Trans-Proteomic Pipeline (TPP) is a collection of integrated tools for MS/MS proteomics. It includes: PeptideProphet for the Statistical validation of PSMs using search engine results; iProphet for distinct peptide sequence validation, using PeptideProphet results (can combine results of multiple search engines); and ProteinProphet for Protein identification and validation, using PeptideProphet or iProphet results. TPP also does: Protein Quantification with XPRESS (calculates relative peptide/protein abundances from isotopically labeled MS/MS samples); ASAPRatio (Automated Statistical Analysis on Protein Ratio, an alternative to XPRESS); and Libra (quantification of isobarically-labeled samples (e.g. iTraq, TMT, etc.) for any number of channels). The TPP currently supports Sequest, Mascot, ProbID, X!Tandem, Comet, SpectraST, MSGF+, Inspect, MyriMatch, and Phenyx. It was developed at the Seattle Proteomic Centre (SPC). [92] [93]
TurboMassProprietaryTurboMass is GC/MS software created by PerkinElmer.
Universal Mass CalculatorFreewareUMC is programmed as a mass spectrometry tool to assist interpreting measurement results, mainly derived from molecular or quasi-molecular ions.

It can be used for the calculation of:

  • Mass deviation (mmu or ppm) of measured mass from given empirical formula
  • Mass differences of two empirical formulas
  • Elemental compositions (also considering measured intensity pattern, "most abundant" algorithm [94] included)
  • Isotope pattern simulation from empirical formulas
  • Analysis of the degree of isotope labelling with D, 13C, 15N or 18O.
VIPERVIPER analyzes accurate mass and chromatography retention times of LC-MS features (accurate mass and time tag approach). [95]
XcaliburProprietarySoftware by Thermo Fisher Scientific used with mass spectrometry instruments.
XCMS Online (Cloud-Based)ProprietaryFreely available and a widely used metabolomic and lipidomic data-processing platform.

See also

Related Research Articles

<span class="mw-page-title-main">Proteomics</span> Large-scale study of proteins

Proteomics is the large-scale study of proteins. Proteins are vital macromolecules of all living organisms, with many functions such as the formation of structural fibers of muscle tissue, enzymatic digestion of food, or synthesis and replication of DNA. In addition, other kinds of proteins include antibodies that protect an organism from infection, and hormones that send important signals throughout the body.

<span class="mw-page-title-main">Tandem mass spectrometry</span> Type of mass spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is a technique in instrumental analysis where two or more stages of analysis using one or more mass analyzer are performed with an additional reaction step in between these analyses to increase their abilities to analyse chemical samples. A common use of tandem MS is the analysis of biomolecules, such as proteins and peptides.

The Trans-Proteomic Pipeline (TPP) is an open-source data analysis software for proteomics developed at the Institute for Systems Biology (ISB) by the Ruedi Aebersold group under the Seattle Proteome Center. The TPP includes PeptideProphet, ProteinProphet, ASAPRatio, XPRESS and Libra.

PEAKS is a proteomics software program for tandem mass spectrometry designed for peptide sequencing, protein identification and quantification.

In analytical chemistry, a tandem mass tag (TMT) is a chemical label that facilitates sample multiplexing in mass spectrometry (MS)-based quantification and identification of biological macromolecules such as proteins, peptides and nucleic acids. TMT belongs to a family of reagents referred to as isobaric mass tags which are a set of molecules with the same mass, but yield reporter ions of differing mass after fragmentation. The relative ratio of the measured reporter ions represents the relative abundance of the tagged molecule, although ion suppression has a detrimental effect on accuracy. Despite these complications, TMT-based proteomics has been shown to afford higher precision than label-free quantification. In addition to aiding in protein quantification, TMT tags can also increase the detection sensitivity of certain highly hydrophilic analytes, such as phosphopeptides, in RPLC-MS analyses.

<span class="mw-page-title-main">Protein mass spectrometry</span> Application of mass spectrometry

Protein mass spectrometry refers to the application of mass spectrometry to the study of proteins. Mass spectrometry is an important method for the accurate mass determination and characterization of proteins, and a variety of methods and instrumentations have been developed for its many uses. Its applications include the identification of proteins and their post-translational modifications, the elucidation of protein complexes, their subunits and functional interactions, as well as the global measurement of proteins in proteomics. It can also be used to localize proteins to the various organelles, and determine the interactions between different proteins as well as with membrane lipids.

Shotgun proteomics refers to the use of bottom-up proteomics techniques in identifying proteins in complex mixtures using a combination of high performance liquid chromatography combined with mass spectrometry. The name is derived from shotgun sequencing of DNA which is itself named after the rapidly expanding, quasi-random firing pattern of a shotgun. The most common method of shotgun proteomics starts with the proteins in the mixture being digested and the resulting peptides are separated by liquid chromatography. Tandem mass spectrometry is then used to identify the peptides.

<span class="mw-page-title-main">Top-down proteomics</span>

Top-down proteomics is a method of protein identification that either uses an ion trapping mass spectrometer to store an isolated protein ion for mass measurement and tandem mass spectrometry (MS/MS) analysis or other protein purification methods such as two-dimensional gel electrophoresis in conjunction with MS/MS. Top-down proteomics is capable of identifying and quantitating unique proteoforms through the analysis of intact proteins. The name is derived from the similar approach to DNA sequencing. During mass spectrometry intact proteins are typically ionized by electrospray ionization and trapped in a Fourier transform ion cyclotron resonance, quadrupole ion trap or Orbitrap mass spectrometer. Fragmentation for tandem mass spectrometry is accomplished by electron-capture dissociation or electron-transfer dissociation. Effective fractionation is critical for sample handling before mass-spectrometry-based proteomics. Proteome analysis routinely involves digesting intact proteins followed by inferred protein identification using mass spectrometry (MS). Top-down MS (non-gel) proteomics interrogates protein structure through measurement of an intact mass followed by direct ion dissociation in the gas phase.

<span class="mw-page-title-main">Isobaric tag for relative and absolute quantitation</span>

Isobaric tags for relative and absolute quantitation (iTRAQ) is an isobaric labeling method used in quantitative proteomics by tandem mass spectrometry to determine the amount of proteins from different sources in a single experiment. It uses stable isotope labeled molecules that can be covalent bonded to the N-terminus and side chain amines of proteins.

Label-free quantification is a method in mass spectrometry that aims to determine the relative amount of proteins in two or more biological samples. Unlike other methods for protein quantification, label-free quantification does not use a stable isotope containing compound to chemically bind to and thus label the protein.

OpenMS is an open-source project for data analysis and processing in mass spectrometry and is released under the 3-clause BSD licence. It supports most common operating systems including Microsoft Windows, MacOS and Linux.

Kevin Downard is a British - Australian academic scientist whose research specialises in the improving responses to infectious disease through the application and development of mass spectrometry and other molecular approaches in the life and medical sciences. Downard has over 35 years of experience in the field and has written 150 lead-author scientific peer-reviewed journal publications, and two books including a textbook for the Royal Society of Chemistry and the first book to be published on the role of mass spectrometry in the study of protein interactions.

<span class="mw-page-title-main">Proteogenomics</span>

Proteogenomics is a field of biological research that utilizes a combination of proteomics, genomics, and transcriptomics to aid in the discovery and identification of peptides. Proteogenomics is used to identify new peptides by comparing MS/MS spectra against a protein database that has been derived from genomic and transcriptomic information. Proteogenomics often refers to studies that use proteomic information, often derived from mass spectrometry, to improve gene annotations. The utilization of both proteomics and genomics data alongside advances in the availability and power of spectrographic and chromatographic technology led to the emergence of proteogenomics as its own field in 2004.

In bio-informatics, a peptide-mass fingerprint or peptide-mass map is a mass spectrum of a mixture of peptides that comes from a digested protein being analyzed. The mass spectrum serves as a fingerprint in the sense that it is a pattern that can serve to identify the protein. The method for forming a peptide-mass fingerprint, developed in 1993, consists of isolating a protein, breaking it down into individual peptides, and determining the masses of the peptides through some form of mass spectrometry. Once formed, a peptide-mass fingerprint can be used to search in databases for related protein or even genomic sequences, making it a powerful tool for annotation of protein-coding genes.

<span class="mw-page-title-main">Single-cell analysis</span> Study of biochemical processes in an individual cell

In cell biology, single-cell analysis and subcellular analysis refer to the study of genomics, transcriptomics, proteomics, metabolomics, and cell–cell interactions at the level of an individual cell, as opposed to more conventional methods which study bulk populations of many cells.

MassMatrix is a mass spectrometry data analysis software that uses a statistical model to achieve increased mass accuracy over other database search algorithms. This search engine is set apart from others dues to its ability to provide extremely efficient judgement between true and false positives for high mass accuracy data that has been obtained from present day mass spectrometer instruments. It is useful for identifying disulphide bonds in tandem mass spectrometry data. This search engine is set apart from others due to its ability to provide extremely efficient judgement between true and false positives for high mass accuracy data that has been obtained from present day mass spectrometer instruments.

In mass spectrometry, de novo peptide sequencing is the method in which a peptide amino acid sequence is determined from tandem mass spectrometry.

<span class="mw-page-title-main">Ronald Beavis</span> Canadian protein biochemist

Ronald Charles Beavis is a Canadian protein biochemist, who has been involved in the application of mass spectrometry to protein primary structure, with applications in the fields of proteomics and analytical biochemistry. He has developed methods for measuring the identity and post-translational modification state of proteins obtained from biological samples using mass spectrometry. He is currently best known for developing new methods for analyzing proteomics data and applying the results of these methods to problems in computational biology.

In mass spectrometry, data-independent acquisition (DIA) is a method of molecular structure determination in which all ions within a selected m/z range are fragmented and analyzed in a second stage of tandem mass spectrometry. Tandem mass spectra are acquired either by fragmenting all ions that enter the mass spectrometer at a given time or by sequentially isolating and fragmenting ranges of m/z. DIA is an alternative to data-dependent acquisition (DDA) where a fixed number of precursor ions are selected and analyzed by tandem mass spectrometry.

<span class="mw-page-title-main">Ancient protein</span>

Ancient proteins are complex mixtures and the term palaeoproteomics is used to characterise the study of proteomes in the past. Ancients proteins have been recovered from a wide range of archaeological materials, including bones, teeth, eggshells, leathers, parchments, ceramics, painting binders and well-preserved soft tissues like gut intestines. These preserved proteins have provided valuable information about taxonomic identification, evolution history (phylogeny), diet, health, disease, technology and social dynamics in the past.

References

  1. 1 2 Cox, Jürgen; Neuhauser, Nadin; Michalski, Annette; Scheltema, Richard A.; Olsen, Jesper V.; Mann, Matthias (2011). "Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment". Journal of Proteome Research. 10 (4): 1794–1805. doi: 10.1021/pr101065j . ISSN   1535-3893. PMID   21254760.
  2. Bern, Marshall; Cai, Yuhan; Goldberg, David (2007). "Lookup Peaks: A Hybrid of de Novo Sequencing and Database Search for Protein Identification by Tandem Mass Spectrometry". Analytical Chemistry. 79 (4): 1393–1400. doi:10.1021/ac0617013. PMID   17243770. S2CID   27769662.
  3. Bern, Marshall; Goldberg, David (2008). "Improved Ranking Functions for Protein and Modification-Site Identifications". Journal of Computational Biology. 15 (7): 705–719. doi:10.1089/cmb.2007.0119. PMID   18651800.
  4. Eng, Jimmy K.; Jahan, Tahmina A.; Hoopmann, Michael R. (2013). "Comet: An open-source MS/MS sequence database search tool". Proteomics. 13 (1): 22–24. doi:10.1002/pmic.201200439. ISSN   1615-9853. PMID   23148064. S2CID   13533125.
  5. "Inspect and MS-Alignment".
  6. Perkins, David N.; Pappin, Darryl J. C.; Creasy, David M.; Cottrell, John S. (1999). "Probability-based protein identification by searching sequence databases using mass spectrometry data". Electrophoresis. 20 (18): 3551–67. doi:10.1002/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2. PMID   10612281. S2CID   42423655.
  7. Solntsev, Stefan K.; Shortreed, Michael R.; Frey, Brian L.; Smith, Lloyd M. (2018). "Enhanced Global Post-translational Modification Discovery with MetaMorpheus". Journal of Proteome Research. 17 (5): 1844–1851. doi:10.1021/acs.jproteome.7b00873. PMID   29578715.
  8. Kong, Andy T.; Leprevost, Felipe V.; Avtonomov, Dmitry M.; Mellacheruvu, Dattatreya; Nesvizhskii, Alexey I. (2017). "MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics". Nature Methods. 14 (5): 513–520. doi:10.1038/nmeth.4256. PMC   5409104 . PMID   28394336.
  9. Sabareesh, Varatharajan; Singh, Gurpreet (2013). "Mass spectrometry-based lipid(ome) analyzer and molecular platform: a new software to interpret and analyze electrospray and/or matrix-assisted laser desorption/ionization mass spectrometric data of lipids: a case study from Mycobacterium tuberculosis". Journal of Mass Spectrometry. 48 (4): 465–477. Bibcode:2013JMSp...48..465S. doi:10.1002/jms.3163. ISSN   1096-9888. PMID   23584940.
  10. Tabb, David L.; Fernando, Christopher G.; Chambers, Matthew C. (2007). "MyriMatch:  Highly Accurate Tandem Mass Spectral Peptide Identification by Multivariate Hypergeometric Analysis". Journal of Proteome Research. 6 (2): 654–61. doi:10.1021/pr0604054. PMC   2525619 . PMID   17269722.
  11. NIST23 Features. Retrieved February 6, 2024.
  12. "OMSSA ms/ms search engine". Pubchem.ncbi.nlm.nih.gov. Retrieved 2011-09-27.
  13. Geer, Lewis Y.; Markey, Sanford P.; Kowalak, Jeffrey A.; Wagner, Lukas; Xu, Ming; Maynard, Dawn M.; Yang, Xiaoyu; Shi, Wenyao; Bryant, Stephen H. (2004). "Open Mass Spectrometry Search Algorithm". Journal of Proteome Research. 3 (5): 958–64. arXiv: q-bio/0406002 . Bibcode:2004q.bio.....6002G. doi:10.1021/pr0499491. PMID   15473683. S2CID   12218715.
  14. Liang, C; Smith, JC; Hendrie, Christopher (2003). A Comparative Study of Peptide Sequencing Software Tools for MS/MS. American Society for Mass Spectrometry.
  15. Colinge, Jacques; Masselot, Alexandre; Giron, Marc; Dessingy, Thierry; Magnin, Jérôme (2003). "OLAV: Towards high-throughput tandem mass spectrometry data identification". Proteomics. 3 (8): 1454–63. doi:10.1002/pmic.200300485. PMID   12923771. S2CID   36666495.
  16. Zhang, Zhuo; Sun, Shiwei; Zhu, Xiaopeng; Chang, Suhua; Liu, Xiaofei; Yu, Chungong; Bu, Dongbo; Chen, Runsheng (2006). "A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data". BMC Bioinformatics. 7 (1): 222. doi: 10.1186/1471-2105-7-222 . ISSN   1471-2105. PMC   1463009 . PMID   16638152.
  17. Xu, T.; Park, S.K.; Venable, J.D.; Wohlschlegel, J.A.; Diedrich, J.K.; Cociorva, D.; Lu, B.; Liao, L.; Hewel, J.; Han, X.; Wong, C.C.L.; Fonslow, B.; Delahunty, C.; Gao, Y.; Shah, H.; Yates, J.R. (2015). "ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity". Journal of Proteomics. 129: 16–24. doi:10.1016/j.jprot.2015.07.001. ISSN   1874-3919. PMC   4630125 . PMID   26171723.
  18. Shilov, Ignat V.; Seymour, Sean L.; Patel, Alpesh A.; Loboda, Alex; Tang, Wilfred H.; Keating, Sean P.; Hunter, Christie L.; Nuwaysir, Lydia M.; Schaeffer, Daniel A. (2007). "The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra". Molecular & Cellular Proteomics. 6 (9): 1638–1655. doi: 10.1074/mcp.T600050-MCP200 . ISSN   1535-9476. PMID   17533153. S2CID   7097773.
  19. "RAId MS/MS search engine". QMBP NCBI NLM NIH. Retrieved 2008-01-01.
  20. Alves, Gelio; Ogurtsov, Aleksey Y.; Yu, Yi-Kuo (2007). "RAId_DbS: peptide identification using database searches with realistic statistics". Biol Direct. 2: 25. doi: 10.1186/1745-6150-2-25 . PMC   2211744 . PMID   17961253.
  21. Jimmy K. Eng; Ashley L. McCormack; John R. Yates, III (1994). "An Approach to Correlate Tandem Mass Spectral Data of Peptides with Amino Acid Sequences in a Protein Database". J Am Soc Mass Spectrom. 5 (11): 976–989. Bibcode:1994JASMS...5..976E. doi:10.1016/1044-0305(94)80016-2. PMID   24226387. S2CID   18413192.
  22. Hricovíni, Miloš; Tvaroška, Igor; Hirsch, Ján; Duben, Anthony J. (1991). "Nuclear overhauser effects and the flexibility of saccharides: methyl β-xylobioside". Carbohydrate Research. 210: 13–20. doi:10.1016/0008-6215(91)80109-Z. ISSN   0008-6215. PMID   1878875.
  23. Novak, Jiri; Sachsenberg, Timo; Hoksza, David; Skopal, Tomas; Kohlbacher, Oliver (2013). "On Comparison of SimTandem with State-of-the-Art Peptide Identification Tools, Efficiency of Precursor Mass Filter and Dealing with Variable Modifications". Journal of Integrative Bioinformatics. 10 (3): 1–15. doi: 10.1515/jib-2013-228 . PMID   24231142. S2CID   22469656.
  24. Diament, Benjamin J.; Noble, William Stafford (2011). "Faster SEQUEST Searching for Peptide Identification from Tandem Mass Spectra". Journal of Proteome Research. 10 (9): 3871–3879. doi:10.1021/pr101196n. ISSN   1535-3893. PMC   3166376 . PMID   21761931.
  25. kou, Qiang; Wu, Si; Tolić, Nikola; Paša-Tolić, Ljiljana; Liu, Yunlong; Liu, Xiaowen (2017). "A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra". Bioinformatics. 33 (9): 1309–1316. doi:10.1093/bioinformatics/btw806. ISSN   1460-2059. PMC   5860502 . PMID   28453668.
  26. kou, Qiang; Xun, Likun; Liu, Xiaowen (2016). "TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization". Bioinformatics. 32 (22): 3495–3497. doi:10.1093/bioinformatics/btw398. ISSN   1460-2059. PMC   5181555 . PMID   27423895.
  27. Bartels, Christian (31 May 1990). "Fast algorithm for peptide sequencing by mass spectroscopy". Biological Mass Spectrometry. 19 (6): 363–368. doi:10.1002/bms.1200190607. PMID   24730078.
  28. Novak, Jiri; Lemr, Karel; Schug, Kevin A.; Havlicek, Vladimir (2015). "CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra". J. Am. Soc. Mass Spectrom. 26 (10): 1780–1786. Bibcode:2015JASMS..26.1780N. doi:10.1007/s13361-015-1211-1. PMID   26195308. S2CID   207470364.
  29. Savitski, Mikhail M.; Nielsen, Michael L.; Kjeldsen, Frank; Zubarev, Roman A. (2005). "Proteomics-Grade de Novo Sequencing Approach". Journal of Proteome Research. 4 (6): 2348–54. doi:10.1021/pr050288x. PMID   16335984.
  30. thermo finnigan introduces denovox – Search results [ dead link ]
  31. Ma, Bin; Zhang, Kaizhong; Hendrie, Christopher; Liang, Chengzhi; Li, Ming; Doherty-Kirby, Amanda; Lajoie, Gilles (2003). "PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry". Rapid Communications in Mass Spectrometry. 17 (20): 2337–42. Bibcode:2003RCMS...17.2337M. doi:10.1002/rcm.1196. PMID   14558135.
  32. Tannu, Nilesh S; Hemby, Scott E (2007). "De novo protein sequence analysis of Macaca mulatta". BMC Genomics. 8: 270. doi: 10.1186/1471-2164-8-270 . PMC   1965481 . PMID   17686166.
  33. Sen, K. Ilker; Tang, Wilfred H; Nayak, Shruti; Kil, Yong J; Bern, Marshall; Ozoglu, Berk; Ueberheide, Beatrix; Davis, Darryl; Becker, Christopher (2017-05-01). "Automated Antibody De Novo Sequencing and Its Utility in Biopharmaceutical Discovery". Journal of the American Society for Mass Spectrometry. 28 (5): 803–810. Bibcode:2017JASMS..28..803S. doi:10.1007/s13361-016-1580-0. ISSN   1044-0305. PMC   5392168 . PMID   28105549.
  34. Yilmaz, Melih; Fondrie, William (2024-02-13). "Sequence-to-sequence translation from mass spectra to peptides with a transformer model". bioRxiv. doi:10.1101/2023.01.03.522621. hdl: 10067/2075800151162165141 . Retrieved 2024-04-03.
  35. Eloff, Kevin; Kalogeropoulos, Konstantinos (2024-03-04). "De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments". bioRxiv. doi:10.1101/2023.08.30.555055 . Retrieved 2024-04-03.
  36. Messner, Christoph B.; Demichev, Vadim; Bloomfield, Nic; Yu, Jason S. L.; White, Matthew; Kreidl, Marco; Egger, Anna-Sophia; Freiwald, Anja; Ivosev, Gordana; Wasim, Fras; Zelezniak, Aleksej (July 2021). "Ultra-fast proteomics with Scanning SWATH". Nature Biotechnology. 39 (7): 846–854. doi:10.1038/s41587-021-00860-4. ISSN   1546-1696. PMC   7611254 . PMID   33767396.
  37. Demichev, Vadim; Yu, Fengchao; Teo, Guo Ci; Szyrwiel, Lukasz; Rosenberger, George A.; Decker, Jens; Kaspar-Schoenefeld, Stephanie; Lilley, Kathryn S.; Mülleder, Michael; Nesvizhskii, Alexey I.; Ralser, Markus (2021-03-09). "High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe". bioRxiv: 2021.03.08.434385. doi:10.1101/2021.03.08.434385. S2CID   232223730.
  38. Demichev, Vadim; Messner, Christoph B.; Vernardis, Spyros I.; Lilley, Kathryn S.; Ralser, Markus (January 2020). "DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput". Nature Methods. 17 (1): 41–44. doi:10.1038/s41592-019-0638-x. ISSN   1548-7105. PMC   6949130 . PMID   31768060.
  39. Millikin, Robert J.; Solntsev, Stefan K.; Shortreed, Michael R.; Smith, Lloyd M. (2018). "Ultrafast Peptide Label-Free Quantification with FlashLFQ". Journal of Proteome Research. 17 (1): 386–391. doi:10.1021/acs.jproteome.7b00608. PMC   5814109 . PMID   29083185.
  40. Cox, Jürgen; Mann, Matthias (December 2008). "MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification". Nature Biotechnology. 26 (12): 1367–1372. doi:10.1038/nbt.1511. ISSN   1546-1696.
  41. Röst HL, Sachsenberg T, Aiche S, Bielow C, Weisser H, Aicheler F, Andreotti S, Ehrlich HC, Gutenbrunner P, Kenar E, Liang X, Nahnsen S, Nilse L, Pfeuffer J, Rosenberger G, Rurik M, Schmitt U, Veit J, Walzer M, Wojnar D, Wolski WE, Schilling O, Choudhary JS, Malmström L, Aebersold R, Reinert K, Kohlbacher O (2016). "OpenMS: a flexible open-source software platform for mass spectrometry data analysis" (PDF). Nat. Methods. 13 (9): 741–8. doi:10.1038/nmeth.3959. PMID   27575624. S2CID   873670.
  42. Egelhofer V, Hoehenwarter W, Lyon D, Weckwerth W, Wienkoop S (2013). "Using ProtMAX to create high-mass-accuracy precursor alignments from label-free quantitative mass spectrometry data generated in shotgun proteomics experiments". Nat Protoc. 8 (3): 595–601. doi:10.1038/nprot.2013.013. PMID   23449253. S2CID   29653992.
  43. Maclean, B (2010). "Skyline: An Open Source Document Editor for Creating and Analyzing Targeted Proteomics Experiments". Bioinformatics. 26 (7): 966–968. doi:10.1093/bioinformatics/btq054. PMC   2844992 . PMID   20147306.
  44. Reiter, L; et al. (2011). "mProphet: automated data processing and statistical validation for large-scale SRM experiments". Nat Methods. 8 (5): 430–435. doi:10.1038/nmeth.1584. PMID   21423193. S2CID   205419625.
  45. Law, KP; Lim YP (2013). "Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring". Expert Rev Proteomics. 10 (6): 551–566. doi:10.1586/14789450.2013.858022. PMID   24206228. S2CID   29969570.
  46. Allen, Felicity; Pon, Allison; Wilson, Michael; Greiner, Russ; Wishart, David (2014). "CFM-ID: A web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra". Nucleic Acids Research. 42 (Web Server issue): W94–W99. doi:10.1093/nar/gku436. PMC   4086103 . PMID   24895432.
  47. Allen, Felicity; Greiner, Russ; Wishart, David (2015). "Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification". Metabolomics. 11: 98–110. arXiv: 1312.0264 . doi:10.1007/s11306-014-0676-4. S2CID   256589.
  48. Allen, Felicity; Pon, Allison; Greiner, Russ; Wishart, David (2016). "Computational Prediction of Electron Ionization Mass Spectra to Assist in GC/MS Compound Identification". Analytical Chemistry. 88 (15): 7689–7697. doi:10.1021/acs.analchem.6b01622. PMID   27381172.
  49. Djoumbou-Feunang, Yannick; Pon, Allison; Karu, Naama; Zheng, Jiamin; Li, Carin; Arndt, David; Gautam, Maheswor; Allen, Felicity; Wishart, David S. (2019). "CFM-ID 3.0: Significantly Improved ESI-MS/MS Prediction and Compound Identification". Metabolites. 9 (4): 72. doi: 10.3390/metabo9040072 . PMC   6523630 . PMID   31013937. S2CID   129941603.
  50. Ozawa, SI; Bald, T; Onishi, T; Xue, H; Matsumura, T; Kubo, R; Takahashi, H; Hippler, M; Takahashi, Y (October 2018). "Configuration of Ten Light-Harvesting Chlorophyll a/b Complex I Subunits in Chlamydomonas reinhardtii Photosystem I." Plant Physiology. 178 (2): 583–595. doi:10.1104/pp.18.00749. PMC   6181050 . PMID   30126869.
  51. Muth, Thilo; Weilnböck, Lisa; Rapp, Erdmann; Huber, Christian G.; Martens, Lennart; Vaudel, Marc; Barsnes, Harald (2014). "DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra". Journal of Proteome Research. 13 (2): 1143–1146. doi:10.1021/pr4008078. ISSN   1535-3893. PMC   3923451 . PMID   24295440.
  52. Sahil; Shubhra Agrawal; GeorgeSabu; Rishabh Gupta; Pankaj Kumar; Saiful B. Khan; kailash yadav; Naman Gupta; Raghav Sehgal (2019-01-11), ElucidataInc/ElMaven: v0.6.1, doi:10.5281/zenodo.2537593
  53. Winkler, Robert (2010). "ESIprot: a universal tool for charge state determination and molecular weight calculation of proteins from electrospray ionization mass spectrometry data". Rapid Communications in Mass Spectrometry. 24 (3): 285–94. Bibcode:2010RCMS...24..285W. doi: 10.1002/rcm.4384 . PMID   20049890.
  54. Malioutov, Dmitry; Chen, Tianchi; Airoldi, Edoardo; Jaffe, Jacob; Budnik, Bogdan; Slavov, Nikolai (2019-01-01). "Quantifying Homologous Proteins and Proteoforms". Molecular & Cellular Proteomics. 18 (1): 162–168. doi: 10.1074/mcp.TIR118.000947 . ISSN   1535-9476. PMC   6317479 . PMID   30282776.
  55. "LIFS LipidXplorer Wiki".
  56. López-Fernández, H; Santos, HM; Capelo, JL; Fdez-Riverola, F; Glez-Peña, D; Reboiro-Jato, M (2015). "Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery". BMC Bioinformatics. 16: 318. doi: 10.1186/s12859-015-0752-4 . PMC   4595311 . PMID   26437641.
  57. Rusconi, F. (2009). "massXpert 2: a cross-platform software environment for polymer chemistry modeling and simulation/analysis of mass spectrometric data". Bioinformatics. 25 (20): 2741–2. doi: 10.1093/bioinformatics/btp504 . PMID   19740912.
  58. Huber, Florian; Verhoeven, Stefan; Meijer, Christiaan; Spreeuw, Hanno; Villanueva, Efrain; Geng, Cunliang; van der Hooft, Justin J.J.; Rogers, Simon; Belloum, Adam; Diblen, Faruk; Spaaks, Jurriaan H. (2020). "matchms - processing and similarity evaluation of mass spectrometry data". Journal of Open Source Software. 5 (52): 2411. Bibcode:2020JOSS....5.2411H. doi: 10.21105/joss.02411 . S2CID   225186415.
  59. "The Analytical Scientist Innovation Awards 2023". The Analytical Scientist. 2023-12-12. Retrieved 2023-12-16.
  60. Xue, Jingchuan; Guijas, Carlos; Benton, H. Paul; Warth, Benedikt; Siuzdak, Gary (October 2020). "METLIN MS2 molecular standards database: a broad chemical and biological resource". Nature Methods. 17 (10): 953–954. doi:10.1038/s41592-020-0942-5. ISSN   1548-7105. PMC   8802982 . PMID   32839599.
  61. Baker, Erin S.; Hoang, Corey; Uritboonthai, Winnie; Heyman, Heino M.; Pratt, Brian; MacCoss, Michael; MacLean, Brendan; Plumb, Robert; Aisporna, Aries; Siuzdak, Gary (December 2023). "METLIN-CCS: an ion mobility spectrometry collision cross section database". Nature Methods. 20 (12): 1836–1837. doi:10.1038/s41592-023-02078-5. ISSN   1548-7105. PMC   10843661 . PMID   37932399.
  62. Aisporna, Aries; Benton, H. Paul; Chen, Andy; Derks, Rico J. E.; Galano, Jean Marie; Giera, Martin; Siuzdak, Gary (2022-03-02). "Neutral Loss Mass Spectral Data Enhances Molecular Similarity Analysis in METLIN". Journal of the American Society for Mass Spectrometry. 33 (3): 530–534. doi:10.1021/jasms.1c00343. ISSN   1044-0305. PMC   10131246 . PMID   35174708.
  63. "METLIN - Database Commons". ngdc.cncb.ac.cn. Retrieved 2023-11-28.
  64. Domingo-Almenara, Xavier; Guijas, Carlos; Billings, Elizabeth; Montenegro-Burke, J. Rafael; Uritboonthai, Winnie; Aisporna, Aries E.; Chen, Emily; Benton, H. Paul; Siuzdak, Gary (2019-12-20). "The METLIN small molecule dataset for machine learning-based retention time prediction". Nature Communications. 10 (1): 5811. Bibcode:2019NatCo..10.5811D. doi:10.1038/s41467-019-13680-7. ISSN   2041-1723. PMC   6925099 . PMID   31862874.
  65. Rusconi, F. (2019). "mineXpert: Biological Mass Spectrometry Data Visualization and Mining with Full JavaScript Ability" (PDF). J. Proteome Res. 18 (5): 2254–2259. doi:10.1021/acs.jproteome.9b00099. PMID   30950277. S2CID   96435891.
  66. Rusconi, F. (2021). "mineXpert2: Full-Depth Visualization and Exploration of MSn Mass Spectrometry Data". JASMS. 32 (4): 1138–1141. doi:10.1021/jasms.0c00402. PMID   33683899.
  67. Palagi, Patricia M.; Walther, Daniel; Quadroni, Manfredo; Catherinet, SéBastien; Burgess, Jennifer; Zimmermann-Ivol, Catherine G.; Sanchez, Jean-Charles; Binz, Pierre-Alain; Hochstrasser, Denis F.; Appel, Ron D. (2005). "MSight: An image analysis software for liquid chromatography-mass spectrometry". Proteomics. 5 (9): 2381–4. doi: 10.1002/pmic.200401244 . PMID   15880814. S2CID   33296427.
  68. Robichaud, Guillaume; Garrard, Kenneth P.; Barry, Jeremy A.; Muddiman, David C. (March 2013). "MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform". Journal of the American Society for Mass Spectrometry. 24 (5): 718–721. Bibcode:2013JASMS..24..718R. doi:10.1007/s13361-013-0607-z. PMC   3693088 . PMID   23536269.
  69. Prince, J. T.; Marcotte, E. M. (2008). "Mspire: Mass spectrometry proteomics in Ruby". Bioinformatics. 24 (23): 2796–2797. doi:10.1093/bioinformatics/btn513. PMC   2639276 . PMID   18930952.
  70. Goeminne, L. J. E.; Gevaert, K.; Clement, L. (2016). "Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics". Molecular & Cellular Proteomics. 15 (2): 657–668. doi: 10.1074/mcp.M115.055897 . PMC   4739679 . PMID   26566788.
  71. Goeminne, L. J. E.; Gevaert, K.; Clement, L. (2018). "Experimental design and data analysis in label-free quantitative LC/MS proteomics: A tutorial with MSqRob". Journal of Proteomics. 171: 23–26. doi:10.1016/j.jprot.2017.04.004. PMID   28391044.
  72. Goeminne, L. J. E.; Sticker, A.; Martens, M.; Gevaert, K.; Clement, L. (2020). "MSqRob takes the missing hurdle: uniting intensity- and count-based proteomics". Analytical Chemistry. XXXX (XX): 6278–6287. doi:10.1021/acs.analchem.9b04375. hdl: 1854/LU-8671265 . PMID   32227882. S2CID   214751205.
  73. Migas, Lukasz G.; France, Aidan P.; Bellina, Bruno; Barran, Perdita E. (April 2018). "ORIGAMI : A software suite for activated ion mobility mass spectrometry (aIM-MS) applied to multimeric protein assemblies". International Journal of Mass Spectrometry. 427: 20–28. Bibcode:2018IJMSp.427...20M. doi:10.1016/j.ijms.2017.08.014. ISSN   1387-3806.
  74. Carvalho, Paulo C; Fischer, Juliana SG; Chen, Emily I; Yates, John R; Barbosa, Valmir C (2008). "PatternLab for proteomics: a tool for differential shotgun proteomics". BMC Bioinformatics. 9: 316. doi: 10.1186/1471-2105-9-316 . PMC   2488363 . PMID   18644148.
  75. Ackerman, Miranda; Jacobo, Eduardo (2017). "Peak Strainer". doi:10.17617/1.47.{{cite journal}}: Cite journal requires |journal= (help)
  76. Laboratory, National High Magnetic Field. "ICR Software - MagLab". nationalmaglab.org. Retrieved 2024-01-12.
  77. Kuzniar, A.; Kanaar, R. (2014). "PIQMIe: a web server for semi-quantitative proteomics data management and analysis". Nucleic Acids Res. 42 (W1): W100–W106. doi:10.1093/nar/gku478. PMC   4086067 . PMID   24861615.
  78. Weatherly, D. B.; Atwood Ja, 3rd; Minning, TA; Cavola, C; Tarleton, RL; Orlando, R (2005). "A Heuristic Method for Assigning a False-discovery Rate for Protein Identifications from Mascot Database Search Results". Molecular & Cellular Proteomics. 4 (6): 762–72. doi: 10.1074/mcp.M400215-MCP200 . PMID   15703444. S2CID   18408543.{{cite journal}}: CS1 maint: numeric names: authors list (link)
  79. Keller, Andrew; Nesvizhskii, Alexey I.; Kolker, Eugene; Aebersold, Ruedi (2002). "Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search". Analytical Chemistry. 74 (20): 5383–92. doi:10.1021/ac025747h. PMID   12403597.
  80. Nesvizhskii, AI; Keller, A; Kolker, E; Aebersold, R (2003). "A statistical model for identifying proteins by tandem mass spectrometry". Analytical Chemistry. 75 (17): 4646–58. doi:10.1021/ac0341261. PMID   14632076.
  81. Specht, Michael; Kuhlgert, Sebastian; Fufezan, Christian; Hippler, Michael (2011). "Proteomics to go: Proteomatic enables the user-friendly creation of versatile MS/MS data evaluation workflows". Bioinformatics. 27 (8): 1183–1184. doi: 10.1093/bioinformatics/btr081 . PMID   21325302.
  82. Sheng, Quanhu; Dai, Jie; Wu, Yibo; Tang, Haixu; Zeng, Rong (2012). "BuildSummary: using a group-based approach to improve the sensitivity of peptide/protein identification in shotgun proteomics". J Proteome Res. 11 (3): 1494–1502. doi:10.1021/pr200194p. PMID   22217156.
  83. Gallant, James; Heunis, Tiaan; Sampson, Samantha; Bitter, Wilbert (2020). "ProVision: A web based platform for rapid analysis of proteomics data processed by MaxQuant". Bioinformatics. 36 (19): 4965–4967. doi:10.1093/bioinformatics/btaa620. PMC   7723325 . PMID   32638008.
  84. Bald, Till; Barth, Johannes; Niehues, Anna; Specht, Michael; Hippler, Michael; Fufezan, Christian (2012). "pymzML – Python module for high throughput bioinformatics on mass spectrometry data". Bioinformatics. 28 (7): 1052–3. doi:10.1093/bioinformatics/bts066. PMID   22302572.
  85. Goloborodko, Anton; Levitsky, Lev; Ivanov, Mark; Gorshkov, Mikhail (2013). "Pyteomics — a Python framework for exploratory data analysis and rapid software prototyping in proteomics". J Am Soc Mass Spectrom. 24 (2): 301–4. Bibcode:2013JASMS..24..301G. doi:10.1007/s13361-012-0516-6. PMID   23292976. S2CID   22009929.
  86. 1 2 Titeca, Kevin; Meysman, Pieter; Gevaert, Kris; Tavernier, Jan; Laukens, Kris; Martens, Lennart; Eyckerman, Sven (2016-01-04). "SFINX: Straightforward Filtering Index for Affinity Purification-Mass Spectrometry Data Analysis". Journal of Proteome Research. 15 (1): 332–338. doi:10.1021/acs.jproteome.5b00666. ISSN   1535-3907. PMID   26616242.
  87. Titeca, Kevin; Van Quickelberghe, Emmy; Samyn, Noortje; De Sutter, Delphine; Verhee, Annick; Gevaert, Kris; Tavernier, Jan; Eyckerman, Sven (May 2017). "Analyzing trapped protein complexes by Virotrap and SFINX". Nature Protocols. 12 (5): 881–898. doi:10.1038/nprot.2017.014. ISSN   1750-2799. PMID   28358392. S2CID   4391127.
  88. Titeca, Kevin; Meysman, Pieter; Laukens, Kris; Martens, Lennart; Tavernier, Jan; Eyckerman, Sven (2017-06-15). "sfinx: an R package for the elimination of false positives from affinity purification-mass spectrometry datasets". Bioinformatics. 33 (12): 1902–1904. doi: 10.1093/bioinformatics/btx076 . ISSN   1367-4811. PMID   28186257.
  89. Lima, D. B.; De Lima, T. B.; Balbuena, T. S.; Neves-Ferreira, A. G.; Barbosa, V. C.; Gozzo, F. C.; Carvalho, P. C. (2015). "SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis". Journal of Proteomics. 129: 51–5. doi:10.1016/j.jprot.2015.01.013. hdl: 11449/158584 . PMID   25638023.
  90. Zucht, Hans-Dieter; Lamerz, Jens; Khamenia, Valery; Schiller, Carsten; Appel, Annette; Tammen, Harald; Crameri, Reto; Selle, Hartmut (2005). "Datamining Methodology for LC-MALDI-MS Based Peptide Profiling". Combinatorial Chemistry & High Throughput Screening . 8 (8): 717–23. doi:10.2174/138620705774962481. PMID   16464158.
  91. Götze, Michael; Pettelkau J; Schaks S; Bosse K; Ihling CH; Krauth F; Fritzsche R; Kühn U; Sinz A. (January 2012). "StavroX--a software for analyzing crosslinked products in protein interaction studies". J Am Soc Mass Spectrom. 23 (1): 76–87. Bibcode:2012JASMS..23...76G. doi: 10.1007/s13361-011-0261-2 . PMID   22038510. S2CID   38037472.
  92. Pedrioli, Patrick G. A. (2010). "Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis". Proteome Bioinformatics. Methods in Molecular Biology. Vol. 604. pp. 213–238. doi:10.1007/978-1-60761-444-9_15. ISBN   978-1-60761-443-2. PMID   20013374.
  93. Deutsch, Eric W.; Mendoza, Luis; Shteynberg, David; Farrah, Terry; Lam, Henry; Tasman, Natalie; Sun, Zhi; Nilsson, Erik; Pratt, Brian; Prazen, Bryan; Eng, Jimmy K.; Martin, Daniel B.; Nesvizhskii, Alexey I.; Aebersold, Ruedi (2010). "A guided tour of the Trans-Proteomic Pipeline". Proteomics. 10 (6): 1150–1159. doi:10.1002/pmic.200900375. ISSN   1615-9853. PMC   3017125 . PMID   20101611.
  94. Cody, Robert B.; Fouquet, Thierry (2019-07-01). "Elemental Composition Determinations Using the Abundant Isotope". Journal of the American Society for Mass Spectrometry. 30 (7): 1321–1324. Bibcode:2019JASMS..30.1321C. doi:10.1007/s13361-019-02203-9. ISSN   1044-0305. PMID   31062289.
  95. Monroe, M. E.; Tolić, N.; Jaitly, N.; Shaw, J. L.; Adkins, J. N.; Smith, R. D. (2007). "VIPER: an advanced software package to support high-throughput LC-MS peptide identification". Bioinformatics. 23 (15): 2021–3. doi: 10.1093/bioinformatics/btm281 . PMID   17545182.