,MaizeGDB is a community-oriented, long-term, federally funded informatics service to researchers focused on the crop plant and model organism Zea mays. Genomic, genetic, sequence, germplasm, gene product, metabolic pathways, functional characterization, literature reference, diversity, and expression are among the datatypes stored at MaizeGDB. At the project's website are custom interfaces enabling researchers to browse data and to seek out specific information matching explicit search criteria. First released in 1991 with the name MaizeDB, the Maize Genetics and Genomics Database, now MaizeGDB (since 2003), is funded, developed, and hosted by the USDA-ARS located at Ames, Iowa.,,
This resource organizes NCBI information, resources, data, and tools and utilities on genomes including sequences, maps, chromosomes, assemblies, and annotations. Sequence and map data from the whole genomes of organisms. The genomes represent both completely sequenced organisms and those for which sequencing is in progress.
Genome In A Bottle - v2.0 Genome Stratifications (Deprecated)
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These stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium are intended as a standard resource of BED files for use in stratifying true positive, false positive, and false negative variant calls. These v2.0 stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium are intended as a standard resource of BED files for use in stratifying true positive, false positive, and false negative variant calls. v2.0 stratifications have been deprecated and replaced by v3.0 genome-stratifications.
Watford Novel application NPMI Biomedlit genesets usecase breast cancer
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We present a novel use of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene associations with biological concepts as represented by Medical Subject Headings (MeSH terms) in PubMed. This dataset is associated with the following publication: Watford, S., R. Grashow, V. De La Rosa, R. Rudel, K. Paul-Friedman, and M. Martin. Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: Use case in breast carcinogenesis. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 7: 46-57, (2018).