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.
The GMOD project was started in the early 2000s as a collaboration between several model organism databases (MODs) who shared a need to create similar software tools for processing data from sequencing projects. MODs, or organism-specific databases, describe genome and other information about important experimental organisms in the life sciences and capture the large volumes of data and information being generated by modern biology. Rather than each group designing their own software, four major MODs--FlyBase, Saccharomyces Genome Database, Mouse Genome Database, and WormBase—worked together to create applications that provide functionality needed by all MODs, such as software to help manage the data within the MOD, and to help users access and query the data.
The GMOD project works to keep software components interoperable. To this end, many of the tools use a common input/output file format or run off a Chado schema database.
The Chado schema aims to cover many of the classes of data frequently used by modern biologists, from genetic data to phylogenetic trees to publications to organisms to microarray data to IDs to RNA/protein expression. Chado makes extensive use of controlled vocabularies to type all entities in the database; for example: genes, transcripts, exons, transposable elements, etc., are stored in a feature table, with the type provided by Sequence Ontology. When a new type is added to the Sequence Ontology, the feature table requires no modification, only an update of the data in the database. The same is largely true of analysis data that can be stored in Chado as well.
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BackgroundIt is generally accepted that most evolutionary transformations at the phenotype level are associated either with rearrangements of genomic regulatory elements, which control the activity of gene networks, or with changes in the amino acid conten ...