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The Reference Sequence (RefSeq) database [1] is an open access, annotated and curated collection of publicly available nucleotide sequences (DNA, RNA) and their protein products. RefSeq was introduced in 2000.
Protein database maintains the text record for individual protein sequences, derived from many different resources such as NCBI Reference Sequence (RefSeq) project, GenBank, PDB, and UniProtKB/SWISS-Prot. Protein records are present in different formats including FASTA and XML and are linked to other NCBI resources. Protein provides the ...
The Cambridge Reference Sequence (CRS) for human mitochondrial DNA was first announced in 1981. [ 2 ] A group led by Fred Sanger at the University of Cambridge had sequenced the mitochondrial genome of one woman of European descent [ 3 ] during the 1970s, determining it to have a length of 16,569 base pairs (0.0006% of the nuclear human genome ...
Checks for a start or stop codon in the reference genome sequence Internal stop: Checks for the presence of an internal stop codon in the genomic sequence NCBI:Ensembl protein length different: Checks if the protein encoded by the NCBI RefSeq is the same length as the EBI/WTSI protein NCBI:Ensembl low percent identity
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 ).
the NIH protein database, a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and Third Party Annotation, as well as records from SwissProt, PIR, PRF, and PDB Proteopedia the collaborative, 3D encyclopedia of proteins and other molecules.
Sequence information: Non-redundant protein, gene and transcript sequences and annotations are extracted from RefSeq [15] and Uniprot. [ 16 ] Taxonomic classification of species and sequences : NCBI Taxonomy [ 17 ] is used to classify the species and sequences into phylogenetic groups, and build a phylogenetic tree.
UniRef100 sequences are clustered using the CD-HIT algorithm to build UniRef90 and UniRef50. [20] [21] Each cluster is composed of sequences that have at least 90% or 50% sequence identity, respectively, to the longest sequence. Clustering sequences significantly reduces database size, enabling faster sequence searches.