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Clustering of highly homologous sequences to reduce the size of large protein databases
Abstract
Summary: We present a fast and flexible program for clustering large protein databases at different sequence identity levels. It takes less than 2 h for the all-against-all sequence comparison and clustering of the non-redundant protein database of over 560000 sequences on a high-end PC. The output database, including only the representative sequences, can be used for more efficient and sensitive database searches. Availability: The program is available from http://bioinformatics.burnham-inst.org/cd-hi Contact: liwz@sdsc.edu or adam@burnham-inst.org * To whom correspondence should be addressed.
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Metadata
- Authors
- Li, W., Jaroszewski, L., & Godzik, A.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-03-01
- Volume
- 17
- Issue
- 3
- Pages
- 282-283
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2108211735
- Cited by
- 1,034
- References
- 1
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
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