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HHsenser: exhaustive transitive profile search using HMM–HMM comparison
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein sequence or a multiple alignment, it can iteratively explore whole superfamilies, producing few or no false positives. Th...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538784/ https://www.ncbi.nlm.nih.gov/pubmed/16845029 http://dx.doi.org/10.1093/nar/gkl195 |
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author | Söding, Johannes Remmert, Michael Biegert, Andreas Lupas, Andrei N. |
author_facet | Söding, Johannes Remmert, Michael Biegert, Andreas Lupas, Andrei N. |
author_sort | Söding, Johannes |
collection | PubMed |
description | HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein sequence or a multiple alignment, it can iteratively explore whole superfamilies, producing few or no false positives. The output is a multiple alignment of all detected homologs. HHsenser's sensitivity should make it a useful tool for evolutionary studies. It may also aid applications that rely on diverse multiple sequence alignments as input, such as homology-based structure and function prediction, or the determination of functional residues by conservation scoring and functional subtyping. HHsenser can be accessed at . It has also been integrated into our structure and function prediction server HHpred () to improve predictions for near-singleton sequences. |
format | Text |
id | pubmed-1538784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15387842006-08-18 HHsenser: exhaustive transitive profile search using HMM–HMM comparison Söding, Johannes Remmert, Michael Biegert, Andreas Lupas, Andrei N. Nucleic Acids Res Article HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein sequence or a multiple alignment, it can iteratively explore whole superfamilies, producing few or no false positives. The output is a multiple alignment of all detected homologs. HHsenser's sensitivity should make it a useful tool for evolutionary studies. It may also aid applications that rely on diverse multiple sequence alignments as input, such as homology-based structure and function prediction, or the determination of functional residues by conservation scoring and functional subtyping. HHsenser can be accessed at . It has also been integrated into our structure and function prediction server HHpred () to improve predictions for near-singleton sequences. Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538784/ /pubmed/16845029 http://dx.doi.org/10.1093/nar/gkl195 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Söding, Johannes Remmert, Michael Biegert, Andreas Lupas, Andrei N. HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title | HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title_full | HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title_fullStr | HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title_full_unstemmed | HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title_short | HHsenser: exhaustive transitive profile search using HMM–HMM comparison |
title_sort | hhsenser: exhaustive transitive profile search using hmm–hmm comparison |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538784/ https://www.ncbi.nlm.nih.gov/pubmed/16845029 http://dx.doi.org/10.1093/nar/gkl195 |
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