SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data. Author Maximilian Diehn, Gavin Sherlock, Gail Binkley, Heng Jin, John Matese, Tina Hernandez-Boussard, Christian Rees, Michael Cherry, David Botstein, Patrick Brown, Ash Alizadeh Publication Year 2003 Type Journal Article Abstract The explosion in the number of functional genomic datasets generated with tools such as DNA microarrays has created a critical need for resources that facilitate the interpretation of large-scale biological data. SOURCE is a web-based database that brings together information from a broad range of resources, and provides it in manner particularly useful for genome-scale analyses. SOURCE's GeneReports include aliases, chromosomal location, functional descriptions, GeneOntology annotations, gene expression data, and links to external databases. We curate published microarray gene expression datasets and allow users to rapidly identify sets of co-regulated genes across a variety of tissues and a large number of conditions using a simple and intuitive interface. SOURCE provides content both in gene and cDNA clone-centric pages, and thus simplifies analysis of datasets generated using cDNA microarrays. SOURCE is continuously updated and contains the most recent and accurate information available for human, mouse, and rat genes. By allowing dynamic linking to individual gene or clone reports, SOURCE facilitates browsing of large genomic datasets. Finally, SOURCEs batch interface allows rapid extraction of data for thousands of genes or clones at once and thus facilitates statistical analyses such as assessing the enrichment of functional attributes within clusters of genes. SOURCE is available at http://source.stanford.edu. Keywords Animals, Mice, Humans, Gene Expression Profiling, Rats, Proteins, Genomics, Oligonucleotide Array Sequence Analysis, DNA-Binding Proteins, Chromosome Mapping, Databases, Genetic, Information Storage and Retrieval, Antigens, Neoplasm, DNA Topoisomerases, Type II Journal Nucleic Acids Res Volume 31 Issue 1 Pages 219-23 Date Published 01/2003 Alternate Journal Nucleic Acids Res. Google ScholarBibTeXEndNote X3 XML