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CD-HIT: accelerated for clustering the next-generation sequencing data
Author(s) -
LiMin Fu,
Beifang Niu,
Zhengwei Zhu,
Sitao Wu,
Weizhong Li
Publication year - 2012
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/bts565
Subject(s) - speedup , computer science , cluster analysis , redundancy (engineering) , data mining , sequence (biology) , parallel computing , machine learning , biology , operating system , genetics
CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions.

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