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CD-HIT Suite: a web server for clustering and comparing biological sequences

Summary: CD-HIT is a widely used program for clustering and comparing large biological sequence datasets. In order to further assist the CD-HIT users, we significantly improved this program with more functions and better accuracy, scalability and flexibility. Most importantly, we developed a new web...

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Detalles Bibliográficos
Autores principales: Huang, Ying, Niu, Beifang, Gao, Ying, Fu, Limin, Li, Weizhong
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828112/
https://www.ncbi.nlm.nih.gov/pubmed/20053844
http://dx.doi.org/10.1093/bioinformatics/btq003
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author Huang, Ying
Niu, Beifang
Gao, Ying
Fu, Limin
Li, Weizhong
author_facet Huang, Ying
Niu, Beifang
Gao, Ying
Fu, Limin
Li, Weizhong
author_sort Huang, Ying
collection PubMed
description Summary: CD-HIT is a widely used program for clustering and comparing large biological sequence datasets. In order to further assist the CD-HIT users, we significantly improved this program with more functions and better accuracy, scalability and flexibility. Most importantly, we developed a new web server, CD-HIT Suite, for clustering a user-uploaded sequence dataset or comparing it to another dataset at different identity levels. Users can now interactively explore the clusters within web browsers. We also provide downloadable clusters for several public databases (NCBI NR, Swissprot and PDB) at different identity levels. Availability: Free access at http://cd-hit.org Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-28281122010-02-25 CD-HIT Suite: a web server for clustering and comparing biological sequences Huang, Ying Niu, Beifang Gao, Ying Fu, Limin Li, Weizhong Bioinformatics Applications Note Summary: CD-HIT is a widely used program for clustering and comparing large biological sequence datasets. In order to further assist the CD-HIT users, we significantly improved this program with more functions and better accuracy, scalability and flexibility. Most importantly, we developed a new web server, CD-HIT Suite, for clustering a user-uploaded sequence dataset or comparing it to another dataset at different identity levels. Users can now interactively explore the clusters within web browsers. We also provide downloadable clusters for several public databases (NCBI NR, Swissprot and PDB) at different identity levels. Availability: Free access at http://cd-hit.org Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-03-01 2010-01-06 /pmc/articles/PMC2828112/ /pubmed/20053844 http://dx.doi.org/10.1093/bioinformatics/btq003 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Huang, Ying
Niu, Beifang
Gao, Ying
Fu, Limin
Li, Weizhong
CD-HIT Suite: a web server for clustering and comparing biological sequences
title CD-HIT Suite: a web server for clustering and comparing biological sequences
title_full CD-HIT Suite: a web server for clustering and comparing biological sequences
title_fullStr CD-HIT Suite: a web server for clustering and comparing biological sequences
title_full_unstemmed CD-HIT Suite: a web server for clustering and comparing biological sequences
title_short CD-HIT Suite: a web server for clustering and comparing biological sequences
title_sort cd-hit suite: a web server for clustering and comparing biological sequences
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828112/
https://www.ncbi.nlm.nih.gov/pubmed/20053844
http://dx.doi.org/10.1093/bioinformatics/btq003
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