Content | |
---|---|
Description | Mobile genetic elements |
Contact | |
Primary citation | PMID 21036865 |
Release date | 2010 |
Access | |
Data format | Wiki |
Website | http://gydb.org. |
Web service URL | mediawiki api |
Tools | |
Web | wiki |
Miscellaneous | |
Version | release 2.0. |
Gypsy (GyDB) is a wiki-style database of mobile genetic elements. [1] [2] [3]
A wiki is a knowledge base website on which users collaboratively modify content and structure directly from the web browser. In a typical wiki, text is written using a simplified markup language and often edited with the help of a rich-text editor.
Mobile genetic elements (MGEs) are a type of genetic materials that can move around within a genome, or that can be transferred from one species or replicon to another. MGEs are found in all organisms. In humans, approximately 50% of the genome is thought to be MGEs. MGEs play a distinct role in evolution. Gene duplication events can also happen through the mechanism of MGEs. MGEs can also cause mutations in protein coding regions, which alters the protein functions. In addition, they can also rearrange genes in the host genome. One of the examples of MGEs in evolutionary context is that virulence factors and antibiotic resistance genes of MGEs can be transported to share them with neighboring bacteria. Newly acquired genes through this mechanism can increase fitness by gaining new or additional functions. On the other hand, MGEs can also decrease fitness by introducing disease-causing alleles or mutations.
Horizontal gene transfer (HGT) or lateral gene transfer (LGT) is the movement of genetic material between unicellular and/or multicellular organisms other than by the ("vertical") transmission of DNA from parent to offspring (reproduction). HGT is an important factor in the evolution of many organisms.
Biological databases are libraries of life sciences information, 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.
In academia, computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology. The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
The DrugBank database is a comprehensive, freely accessible, online database containing information on drugs and drug targets. As both a bioinformatics and a cheminformatics resource, DrugBank combines detailed drug data with comprehensive drug target information. DrugBank uses a fair bit of content from Wikipedia. Wikipedia also often links to Drugbank.
KEGG is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances. KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
Beta globulins are a group of globular proteins in plasma that are more mobile in alkaline or electrically charged solutions than gamma globulins, but less mobile than alpha globulins.
The Generic Model Organism Database (GMOD) project provides biological research communities with a toolkit of open-source software components for visualizing, annotating, managing, and storing biological data. The GMOD project is funded by the United States National Institutes of Health, National Science Foundation and the USDA Agricultural Research Service.
U108 belongs to the H/ACA family of snoRNAs. The sequence is predicted to guide the pseudouridylation of the U372 residue in the 28S rRNA subunit. However it has not been reported as a pseudouridylation site.
U105 belongs to the C/D family of snoRNAs. It is encoded in an intron of the Peter pan homolog gene and is predicted to guide 2'O-ribose methylation of residue U799 of the small 18S rRNA subunit.
Small nucleolar RNA SNORA11 is a non-coding RNA (ncRNA) molecule which functions in the biogenesis (modification) of other small nuclear RNAs (snRNAs). This type of modifying RNA is located in the nucleolus of the eukaryotic cell which is a major site of snRNA biogenesis. It is known as a small nucleolar RNA (snoRNA).
ACLAME is a database of sequenced mobile genetic elements.
ISfinder is a database of insertion sequences isolated from eubacteria and archae.
Islander is a database of integrative islands in prokaryotic genomes.
NGSmethDB is a database of methylation data derived from next-generation sequencing data.
ChimerDB is a database of fusion sequences.
PDBsum is a database that provides an overview of the contents of each 3D macromolecular structure deposited in the Protein Data Bank. The original version of the database was developed around 1995 by Roman Laskowski and collaborators at University College London. As of 2014, PDBsum is maintained by Laskowski and collaborators in the laboratory of Janet Thornton at the European Bioinformatics Institute (EBI).
The Mammalian Promoter Database (MPromDb) is a curated database of gene promoters identified from ChIP-seq The proximal promoter region contains the cis-regulatory elements of most of the transcription factors (TFs).
ParameciumDB is a database for the genome and biology of the ciliate Paramecium tetraurelia
The variations and drugs database (VnD) contains a comprehensive information on diseases, related genes and genetic variations, protein structures and drug information
The Human Metabolome Database (HMDB) is a comprehensive, high-quality, freely accessible, online database of small molecule metabolites found in the human body. Created by the Human Metabolome Project funded by Genome Canada. One of the first dedicated metabolomics databases, the HMDB facilitates human metabolomics research, including the identification and characterization of human metabolites using NMR spectroscopy, GC-MS spectrometry and LC/MS spectrometry. To aid in this discovery process, the HMDB contains three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The chemical data includes 41,514 metabolite structures with detailed descriptions along with nearly 10,000 NMR, GC-MS and LC/MS spectra.
Julio Collado-Vides is a Guatemalan scientist and Professor of Computational Genomics at the National Autonomous University of Mexico. His research focuses on genomics and bioinformatics.
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