EsyN

Last updated
EsyN
Original author(s) Cambridge Systems Biology Centre
Initial releaseSeptember 2014
Stable release
2.1 / 17 January 2016;7 years ago (2016-01-17)
Written in JavaScript
Type Bioinformatics software
Website www.esyn.org

esyN (Easy Networks) [1] [2] is a bioinformatics web-tool for visualizing, building and analysing molecular interaction networks. esyN is based on cytoscape.js and its aim is to make it easy for everybody to perform network analysis. esyN is connected with a number of databases - specifically: pombase, flybase, and most InterMine data warehouses, DrugBank, and BioGRID from which its possible to download the protein protein or genetic interactions for any protein or gene in a number of different organisms.

Contents

Networks published in esyN can be easily published in other websites using the <iframe> methodology. [3]

Usage

As of January 2016 esyN is being viewed by 1500 unique users a day (about 16000 a month) according to Google Analytics.

The embedding capabilities of esyN are used by a number of databases to display their interaction data:

See also

Related Research Articles

<i>Schizosaccharomyces pombe</i> Species of yeast

Schizosaccharomyces pombe, also called "fission yeast", is a species of yeast used in traditional brewing and as a model organism in molecular and cell biology. It is a unicellular eukaryote, whose cells are rod-shaped. Cells typically measure 3 to 4 micrometres in diameter and 7 to 14 micrometres in length. Its genome, which is approximately 14.1 million base pairs, is estimated to contain 4,970 protein-coding genes and at least 450 non-coding RNAs.

<span class="mw-page-title-main">Gene regulatory network</span> Collection of molecular regulators

A generegulatory network (GRN) is a collection of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins which, in turn, determine the function of the cell. GRN also play a central role in morphogenesis, the creation of body structures, which in turn is central to evolutionary developmental biology (evo-devo).

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

Biological databases are libraries of biological sciences, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis. They contain information from research areas including genomics, proteomics, metabolomics, microarray gene expression, and phylogenetics. Information contained in biological databases includes gene function, structure, localization, clinical effects of mutations as well as similarities of biological sequences and structures.

<span class="mw-page-title-main">Protein complex</span> Type of stable macromolecular complex

A protein complex or multiprotein complex is a group of two or more associated polypeptide chains. Protein complexes are distinct from multidomain enzymes, in which multiple catalytic domains are found in a single polypeptide chain.

<span class="mw-page-title-main">Interactome</span> Complete set of molecular interactions in a biological cell

In molecular biology, an interactome is the whole set of molecular interactions in a particular cell. The term specifically refers to physical interactions among molecules but can also describe sets of indirect interactions among genes.

<span class="mw-page-title-main">Two-hybrid screening</span> Molecular biology technique

Two-hybrid screening is a molecular biology technique used to discover protein–protein interactions (PPIs) and protein–DNA interactions by testing for physical interactions between two proteins or a single protein and a DNA molecule, respectively.

<span class="mw-page-title-main">Protein–protein interaction</span> Physical interactions and constructions between multiple proteins

Protein–protein interactions (PPIs) are physical contacts of high specificity established between two or more protein molecules as a result of biochemical events steered by interactions that include electrostatic forces, hydrogen bonding and the hydrophobic effect. Many are physical contacts with molecular associations between chains that occur in a cell or in a living organism in a specific biomolecular context.

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

The Biological General Repository for Interaction Datasets (BioGRID) is a curated biological database of protein-protein interactions, genetic interactions, chemical interactions, and post-translational modifications created in 2003 (originally referred to as simply the General Repository for Interaction Datasets by Mike Tyers, Bobby-Joe Breitkreutz, and Chris Stark at the Lunenfeld-Tanenbaum Research Institute at Mount Sinai Hospital. It strives to provide a comprehensive curated resource for all major model organism species while attempting to remove redundancy to create a single mapping of data. Users of The BioGRID can search for their protein, chemical or publication of interest and retrieve annotation, as well as curated data as reported, by the primary literature and compiled by in house large-scale curation efforts. The BioGRID is hosted in Toronto, Ontario, Canada and Dallas, Texas, United States and is partnered with the Saccharomyces Genome Database, FlyBase, WormBase, PomBase, and the Alliance of Genome Resources. The BioGRID is funded by the NIH and CIHR. BioGRID is an observer member of the International Molecular Exchange Consortium.

The Human Protein Reference Database (HPRD) is a protein database accessible through the Internet. It is closely associated with the premier Indian Non-Profit research organisation Institute of Bioinformatics (IOB), Bangalore, India. This database is a collaborative output of IOB and the Pandey Lab of Johns Hopkins University.

<span class="mw-page-title-main">SIL1</span> Protein-coding gene in the species Homo sapiens

Nucleotide exchange factor SIL1 is a protein that in humans is encoded by the SIL1 gene.

ChIP-sequencing, also known as ChIP-seq, is a method used to analyze protein interactions with DNA. ChIP-seq combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins. It can be used to map global binding sites precisely for any protein of interest. Previously, ChIP-on-chip was the most common technique utilized to study these protein–DNA relations.

InterMine is an open source data warehouse system, licensed under the LGPL 2.1. InterMine is used to create databases of biological data accessed by sophisticated web query tools. InterMine can be used to create databases from a single data set or can integrate multiple sources of data. Support is provided for several common biological formats and there is a framework for adding other data. InterMine includes a user-friendly web interface that works 'out of the box' and can be easily customised.

<span class="mw-page-title-main">Biological network</span> Method of representing systems

A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general, networks or graphs are used to capture relationships between entities or objects. A typical graphing representation consists of a set of nodes connected by edges.

The human interactome is the set of protein–protein interactions that occur in human cells. The sequencing of reference genomes, in particular the Human Genome Project, has revolutionized human genetics, molecular biology, and clinical medicine. Genome-wide association study results have led to the association of genes with most Mendelian disorders, and over 140 000 germline mutations have been associated with at least one genetic disease. However, it became apparent that inherent to these studies is an emphasis on clinical outcome rather than a comprehensive understanding of human disease; indeed to date the most significant contributions of GWAS have been restricted to the “low-hanging fruit” of direct single mutation disorders, prompting a systems biology approach to genomic analysis. The connection between genotype and phenotype remain elusive, especially in the context of multigenic complex traits and cancer. To assign functional context to genotypic changes, much of recent research efforts have been devoted to the mapping of the networks formed by interactions of cellular and genetic components in humans, as well as how these networks are altered by genetic and somatic disease.

PomBase is a model organism database that provides online access to the fission yeast Schizosaccharomyces pombe genome sequence and annotated features, together with a wide range of manually curated functional gene-specific data. The PomBase website was redeveloped in 2016 to provide users with a more fully integrated, better-performing service.

Model organism databases (MODs) are biological databases, or knowledgebases, dedicated to the provision of in-depth biological data for intensively studied model organisms. MODs allow researchers to easily find background information on large sets of genes, plan experiments efficiently, combine their data with existing knowledge, and construct novel hypotheses. They allow users to analyse results and interpret datasets, and the data they generate are increasingly used to describe less well studied species. Where possible, MODs share common approaches to collect and represent biological information. For example, all MODs use the Gene Ontology (GO) to describe functions, processes and cellular locations of specific gene products. Projects also exist to enable software sharing for curation, visualization and querying between different MODs. Organismal diversity and varying user requirements however mean that MODs are often required to customize capture, display, and provision of data.

<i>De novo</i> gene birth Evolution of novel genes from non-genic DNA sequence

De novo gene birth is the process by which new genes evolve from DNA sequences that were ancestrally non-genic. De novo genes represent a subset of novel genes, and may be protein-coding or instead act as RNA genes. The processes that govern de novo gene birth are not well understood, although several models exist that describe possible mechanisms by which de novo gene birth may occur.

Biocuration is the field of life sciences dedicated to organizing biomedical data, information and knowledge into structured formats, such as spreadsheets, tables and knowledge graphs. The biocuration of biomedical knowledge is made possible by the cooperative work of biocurators, software developers and bioinformaticians and is at the base of the work of biological databases.

References

  1. Bean; et al. (2014). "esyN: Network Building, Sharing and Publishing". PLOS ONE. 9 (9): e106035. doi: 10.1371/journal.pone.0106035 . PMC   4152123 . PMID   25181461.
  2. Hoffman; et al. (2015). "An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System". Genetics. 201 (2): 403–423. doi:10.1534/genetics.115.181503. PMC   4596657 . PMID   26447128.
  3. "Tutorial: Welcome to esyN". esyN.org. 2018. Retrieved 10 February 2019.
  4. "Physical Interaction report". FlyBase . 21 December 2018. Retrieved 10 February 2019.
  5. "Allele : ttk[MI01174] D. melanogaster". FlyMine. November 2018. Retrieved 10 February 2019.
  6. "Report page". HumanMine. November 2018. Retrieved 10 February 2019.
  7. "Fission yeast GO slim". PomBase . Retrieved 10 February 2019.