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Reactome is a free online database of biological pathways. [ 1 ] [ 2 ] [ 3 ] It is manually curated and authored by PhD-level biologists, in collaboration with Reactome editorial staff. The content is cross-referenced to many bioinformatics databases.
WikiPathways is originally built using MediaWiki software, [4] a custom graphical pathway editing tool (PathVisio [5]) and integrated BridgeDb [6] databases covering major gene, protein, and metabolite systems. WikiPathways was founded in 2008 by Thomas Kelder, Alex Pico, Martijn Van Iersel, Kristina Hanspers, Bruce Conklin and Chris Evelo.
Citation Hunt: A tool for browsing snippets of Wikipedia articles that lack citations. Citer: Converts a URL, DOI, ISBN, PMID, PMCID, OCLC, or Google Books URL into a citation and shortened footnote. It also can generate citations for certain major news websites (e.g., The New York Times) and the Wayback Machine.
curated resource of human signal transduction pathways MEGA: free, online, open-source, phylogenetic analysis, drawing dendrograms etc. REACTOME free, online, open-source, curated pathway database encompassing many areas of human biology WikiPathways: curate biological pathways MetaboMAPS: visualize omics data on shared metabolic pathways [1]
KEGG (Kyoto Encyclopedia of Genes and Genomes) 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.
Biological databases are stores of biological information. [1] The journal Nucleic Acids Research regularly publishes special issues on biological databases and has a list of such databases. The 2018 issue has a list of about 180 such databases and updates to previously described databases. [2] Omics Discovery Index can be used to browse and search
Using the web-interface of the database, one can perform overrepresentation analysis, based on biochemical pathways or on neighbourhood-based entity sets (NESTs) that constitute sub-networks of the overall interaction network containing all physical entities around a central one within a "radius" (number of interactions from the center).
Such a pathway can trigger the assembly of new molecules, such as a fat or protein. Pathways can also turn genes on and off, or spur a cell to move. [1] Some of the most common biological pathways are involved in metabolism, the regulation of gene expression and the transmission of signals. Pathways play a key role in advanced studies of genomics.
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