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  HHblits: Lightning-fast iterative protein sequence searching by HMM-HMM alignment.

Remmert, M., Biegert, A., Hauser, A., & Söding, J. (2012). HHblits: Lightning-fast iterative protein sequence searching by HMM-HMM alignment. Nature Methods, 9(2), 173-175. doi:10.1038/NMETH.1818.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-8D56-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-483A-0
Genre: Journal Article

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Remmert, M.1, Author
Biegert, A.1, Author
Hauser, A.1, Author
Söding, J.2, Author           
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1external, ou_persistent22              
2Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286              

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 Abstract: Sequence-based protein function and structure prediction depends crucially on sequence-search sensitivity and accuracy of the resulting sequence alignments. We present an open-source, general-purpose tool that represents both query and database sequences by profile hidden Markov models (HMMs): 'HMM-HMM–based lightning-fast iterative sequence search' (HHblits; http://toolkit.genzentrum.lmu.de/hhblits/). Compared to the sequence-search tool PSI-BLAST, HHblits is faster owing to its discretized-profile prefilter, has 50–100% higher sensitivity and generates more accurate alignments.

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Language(s): eng - English
 Dates: 2011-11-252012
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/NMETH.1818
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Title: Nature Methods
Source Genre: Journal
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Publ. Info: New York, NY : Nature Pub. Group
Pages: - Volume / Issue: 9 (2) Sequence Number: - Start / End Page: 173 - 175 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556