Removing near-neighbour redundancy from large protein sequence collections. | Zendy

Liisa Holm | Zendy; Chris Sander | Zendy

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Removing near-neighbour redundancy from large protein sequence collections.

Author(s) -

Liisa Holm,

Chris Sander

Publication year - 1998

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/14.5.423

Subject(s) - sequence database , genbank , uniprot , computer science , sequence alignment , annotation , sequence (biology) , cluster analysis , refseq , protein sequencing , sequence logo , perl , data mining , homology (biology) , biology , genetics , artificial intelligence , peptide sequence , programming language , genome , gene

To maximize the chances of biological discovery, homology searching must use an up-to-date collection of sequences. However, the available sequence databases are growing rapidly and are partially redundant in content. This leads to increasing strain on CPU resources and decreasing density of first-hand annotation.

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