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One major advance involves the construction of comprehensive databases that archive gene sequences and gene expression data.
Many on-line databases that archive gene families allow downloading of all or part of data to user's computer but often do not provide data analysis tools via the database site.
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To identify and archive genes encoding the abovementioned key components, protein domain profiles were determined from reference sequences obtained from UniProtKB/SwissProt.
We developed and implemented a prototype system that searches and archives gene expression and drug sensitivity information.
GSMA and similar approaches will be useful for rapidly testing original as well as archived gene expression datasets for specific gene expression enrichment at the group level using either preset gene lists (pathways, promoter elements, disease association, etc) or empirically derived gene expression signatures [ 2].
The Fungal Cytochrome P450 Database (FCPD) archives genes encoding P450s in the genomes of 66 fungal and 4 oomycete species (4,538 in total) and supports analyses of their sequences, chromosomal distribution pattern, and evolutionary histories and relationships.
We have developed the Repository of Antibiotic resistance Cassettes (RAC) website to provide an archive of gene cassettes that includes alternative gene names from multiple nomenclature systems and allows the community to contribute new cassettes.
In support of Tox21, the NTP is evaluating techniques for mining its tissue archives for gene expression response profiles to expand our ability to link chemicals to genes, genes to pathways, and pathways to disease.
An archive of these gene trees in Nexus (.nex) format has been included as File S2.
funRNA provides: i) a putative gene archive from 1,440 proteomes over a wide taxonomic range; ii) graphs and summary tables for an overview of the target gene families; iii) detailed information about the predicted genes; iv) job submission forms for bioinformatics tools; and v) Favorite synchronization with CFGP 2.0 and sister databases to offer further analysis.
Find information on individual genes that NCBI RefSeq staff annotate on the human genome assemblies and are archived in the Gene database.
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