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The databases in the table below are selected from the databases listed in the Nucleic Acids Research (NAR) databases issues and database collection and the databases cross-referenced in the UniProtKB. Most of these databases are cross-referenced with UniProt / UniProtKB so that identifiers can be mapped to each other. [15] Proteins in human:
VectorBee; PeptiCloud; BlueTractorSoftware DNADynamo; Agilent Technologies RFLP Decoder Software, Fish Species; Applied Biosystems GeneMapper; Joint BioEnergy Institute j5; CLC bio CLC DNA Workbench Software
The NCBI houses a series of databases relevant to biotechnology and biomedicine and is an important resource for bioinformatics tools and services. Major databases include GenBank for DNA sequences and PubMed, a bibliographic database for biomedical literature.
By September 2004, there were over 100,000 interaction records by 2004 (including 58,266 protein-protein, 4,225 genetic, 874 protein-small molecule, 25,857 protein-DNA, and 19,348 biopolymer interactions). The database also contains sequence information for 31,972 proteins, 4560 DNA samples and 759 RNA samples.
The International Nucleotide Sequence Database Collaboration (INSDC) consists of a joint effort to collect and disseminate databases containing DNA and RNA sequences. [1] It involves the following computerized databases : NIG 's DNA Data Bank of Japan ( Japan ), NCBI 's GenBank ( USA ) and the EMBL - EBI 's European Nucleotide Archive ( EMBL ).
Pages in category "Biological databases" The following 200 pages are in this category, out of approximately 341 total. This list may not reflect recent changes .
Finds genes in microbial DNA: Prokaryotes [28] [29] [30] GLIMMERHMM: Eukaryotic gene-finding system: Eukaryotes [31] GrailEXP Predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repeat elements in DNA sequence: Human, Mus musculus, Arabidopsis thaliana, Drosophila melanogaster [32] [33] mGene
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.