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The terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License apply to all software and code, e.g. relating to the functionality of the reactome.org, derived websites and webservices, the Curator Tool, the Functional Interaction application, SQL and Graph Database data dumps, and Pathway Illustrations (Enhanced High-Level ...
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 several biological 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.
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.
The journals registered in this database underwent rigorous, multidimensional parameterization, proving high quality. The Ministry of Science and Higher Education acknowledged the IC Journal Master List by placing it on the list of scored databases, for being indexed in IC JML journals get additional points in the Ministry’s evaluation process.
Based on the manual curation done, BioCyc database family is divided into 3 tiers: Tier 1: Databases which have received at least one year of literature based manual curation. Currently there are seven databases in Tier 1. Out of the seven, MetaCyc is a major database that contains almost 2500 metabolic pathways from many organisms.
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).
The table below gives an overview of databases for that serve specifically for oncogenomic research. Note that this is not a comprehensive list and does not contain databases that have a generic focus. You may find databases containing cancer data among the List of biological databases or Microarray databases.