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PSI-Search: iterative HOE-reduced profile SSEARCH searching
Summary: Iterative similarity searches with PSI-BLAST position-specific score matrices (PSSMs) find many more homologs than single searches, but PSSMs can be contaminated when homologous alignments are extended into unrelated protein domains—homologous over-extension (HOE). PSI-Search combines an op...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371869/ https://www.ncbi.nlm.nih.gov/pubmed/22539666 http://dx.doi.org/10.1093/bioinformatics/bts240 |
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author | Li, Weizhong McWilliam, Hamish Goujon, Mickael Cowley, Andrew Lopez, Rodrigo Pearson, William R. |
author_facet | Li, Weizhong McWilliam, Hamish Goujon, Mickael Cowley, Andrew Lopez, Rodrigo Pearson, William R. |
author_sort | Li, Weizhong |
collection | PubMed |
description | Summary: Iterative similarity searches with PSI-BLAST position-specific score matrices (PSSMs) find many more homologs than single searches, but PSSMs can be contaminated when homologous alignments are extended into unrelated protein domains—homologous over-extension (HOE). PSI-Search combines an optimal Smith–Waterman local alignment sequence search, using SSEARCH, with the PSI-BLAST profile construction strategy. An optional sequence boundary-masking procedure, which prevents alignments from being extended after they are initially included, can reduce HOE errors in the PSSM profile. Preventing HOE improves selectivity for both PSI-BLAST and PSI-Search, but PSI-Search has ~4-fold better selectivity than PSI-BLAST and similar sensitivity at 50% and 60% family coverage. PSI-Search is also produces 2- for 4-fold fewer false-positives than JackHMMER, but is ~5% less sensitive. Availability and implementation: PSI-Search is available from the authors as a standalone implementation written in Perl for Linux-compatible platforms. It is also available through a web interface (www.ebi.ac.uk/Tools/sss/psisearch) and SOAP and REST Web Services (www.ebi.ac.uk/Tools/webservices). Contact: pearson@virginia.edu; rodrigo.lopez@ebi.ac.uk |
format | Online Article Text |
id | pubmed-3371869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33718692012-06-11 PSI-Search: iterative HOE-reduced profile SSEARCH searching Li, Weizhong McWilliam, Hamish Goujon, Mickael Cowley, Andrew Lopez, Rodrigo Pearson, William R. Bioinformatics Applications Note Summary: Iterative similarity searches with PSI-BLAST position-specific score matrices (PSSMs) find many more homologs than single searches, but PSSMs can be contaminated when homologous alignments are extended into unrelated protein domains—homologous over-extension (HOE). PSI-Search combines an optimal Smith–Waterman local alignment sequence search, using SSEARCH, with the PSI-BLAST profile construction strategy. An optional sequence boundary-masking procedure, which prevents alignments from being extended after they are initially included, can reduce HOE errors in the PSSM profile. Preventing HOE improves selectivity for both PSI-BLAST and PSI-Search, but PSI-Search has ~4-fold better selectivity than PSI-BLAST and similar sensitivity at 50% and 60% family coverage. PSI-Search is also produces 2- for 4-fold fewer false-positives than JackHMMER, but is ~5% less sensitive. Availability and implementation: PSI-Search is available from the authors as a standalone implementation written in Perl for Linux-compatible platforms. It is also available through a web interface (www.ebi.ac.uk/Tools/sss/psisearch) and SOAP and REST Web Services (www.ebi.ac.uk/Tools/webservices). Contact: pearson@virginia.edu; rodrigo.lopez@ebi.ac.uk Oxford University Press 2012-06-15 2012-04-25 /pmc/articles/PMC3371869/ /pubmed/22539666 http://dx.doi.org/10.1093/bioinformatics/bts240 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Li, Weizhong McWilliam, Hamish Goujon, Mickael Cowley, Andrew Lopez, Rodrigo Pearson, William R. PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title | PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title_full | PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title_fullStr | PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title_full_unstemmed | PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title_short | PSI-Search: iterative HOE-reduced profile SSEARCH searching |
title_sort | psi-search: iterative hoe-reduced profile ssearch searching |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371869/ https://www.ncbi.nlm.nih.gov/pubmed/22539666 http://dx.doi.org/10.1093/bioinformatics/bts240 |
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