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UProC: tools for ultra-fast protein domain classification
Motivation: With rapidly increasing volumes of biological sequence data the functional analysis of new sequences in terms of similarities to known protein families challenges classical bioinformatics. Results: The ultrafast protein classification (UProC) toolbox implements a novel algorithm (‘Mosaic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410661/ https://www.ncbi.nlm.nih.gov/pubmed/25540185 http://dx.doi.org/10.1093/bioinformatics/btu843 |
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author | Meinicke, Peter |
author_facet | Meinicke, Peter |
author_sort | Meinicke, Peter |
collection | PubMed |
description | Motivation: With rapidly increasing volumes of biological sequence data the functional analysis of new sequences in terms of similarities to known protein families challenges classical bioinformatics. Results: The ultrafast protein classification (UProC) toolbox implements a novel algorithm (‘Mosaic Matching’) for large-scale sequence analysis. UProC is by three orders of magnitude faster than profile-based methods and in a metagenome simulation study achieved up to 80% higher sensitivity on unassembled 100 bp reads. Availability and implementation: UProC is available as an open-source software at https://github.com/gobics/uproc. Precompiled databases (Pfam) are linked on the UProC homepage: http://uproc.gobics.de/. Contact: peter@gobics.de. Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4410661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44106612015-04-30 UProC: tools for ultra-fast protein domain classification Meinicke, Peter Bioinformatics Original Papers Motivation: With rapidly increasing volumes of biological sequence data the functional analysis of new sequences in terms of similarities to known protein families challenges classical bioinformatics. Results: The ultrafast protein classification (UProC) toolbox implements a novel algorithm (‘Mosaic Matching’) for large-scale sequence analysis. UProC is by three orders of magnitude faster than profile-based methods and in a metagenome simulation study achieved up to 80% higher sensitivity on unassembled 100 bp reads. Availability and implementation: UProC is available as an open-source software at https://github.com/gobics/uproc. Precompiled databases (Pfam) are linked on the UProC homepage: http://uproc.gobics.de/. Contact: peter@gobics.de. Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-05-01 2014-12-23 /pmc/articles/PMC4410661/ /pubmed/25540185 http://dx.doi.org/10.1093/bioinformatics/btu843 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Meinicke, Peter UProC: tools for ultra-fast protein domain classification |
title | UProC: tools for ultra-fast protein domain classification |
title_full | UProC: tools for ultra-fast protein domain classification |
title_fullStr | UProC: tools for ultra-fast protein domain classification |
title_full_unstemmed | UProC: tools for ultra-fast protein domain classification |
title_short | UProC: tools for ultra-fast protein domain classification |
title_sort | uproc: tools for ultra-fast protein domain classification |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410661/ https://www.ncbi.nlm.nih.gov/pubmed/25540185 http://dx.doi.org/10.1093/bioinformatics/btu843 |
work_keys_str_mv | AT meinickepeter uproctoolsforultrafastproteindomainclassification |