GeneRAGE: a robust algorithm for sequence clustering and domain detection | Zendy

Anton J. Enright | Zendy; Christos Ouzounis | Zendy

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GeneRAGE: a robust algorithm for sequence clustering and domain detection

Author(s) -

Anton J. Enright,

Christos Ouzounis

Publication year - 2000

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/16.5.451

Subject(s) - cluster analysis , computer science , false positive paradox , domain (mathematical analysis) , similarity (geometry) , executable , sequence (biology) , smith–waterman algorithm , algorithm , dynamic programming , data mining , pattern recognition (psychology) , sequence alignment , artificial intelligence , mathematics , peptide sequence , image (mathematics) , mathematical analysis , biochemistry , chemistry , biology , gene , genetics , operating system

Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection and correction of false positive and negative relationships with subsequent detection and resolution of multi-domain proteins.

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