Cd-hit: A fast program for clustering and comparing large sets of protein or nucleotide sequences

Bioinformatics

Volumn 22, Issue 13, 2006, Pages 1658-1659

  Li, Weizhong ^a   Godzik, Adam ^a  

^a BURNHAM INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; DNA; NUCLEOTIDE; RNA;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; DNA SEQUENCE; INFORMATION PROCESSING; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; RNA SEQUENCE; SEARCH ENGINE; SEQUENCE ANALYSIS;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, NUCLEIC ACID; DATABASES, PROTEIN; DNA; EXPRESSED SEQUENCE TAGS; HUMANS; PROGRAMMING LANGUAGES; RNA; SEQUENCE ANALYSIS, DNA; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 33745634395     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl158     Document Type: Article

References (5)

1. Apweiler, R. et al. (2004) UniProt: The Universal Protein knowledgebase. Nucleic Acids Res., 32 (Database issue), D115-D119.
2. Bourne, P.E. et al. (2004) The distribution and query systems of the RCSB Protein Data Bank. Nucleic Acids Res., 32 (Database issue), D223-D225.
3. Li, W. et al. (2001) Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics, 17, 282-283.
4. Li, W. et al. (2002a) Sequence clustering strategies improve remote homology recognitions while reducing search times. Bioinformatics, 15, 643-649.
5. Li, W. et al. (2002b) Tolerating some redundancy significantly speeds up clustering of large protein databases. Protein Eng., 18, 77-82.