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PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix
SUMMARY: Transcription factors regulate gene expression by binding to specific short DNA sequences of 5–20 bp to regulate the rate of transcription of genetic information from DNA to messenger RNA. We present PWMScan, a fast web-based tool to scan server-resident genomes for matches to a user-suppli...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041753/ https://www.ncbi.nlm.nih.gov/pubmed/29514181 http://dx.doi.org/10.1093/bioinformatics/bty127 |
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author | Ambrosini, Giovanna Groux, Romain Bucher, Philipp |
author_facet | Ambrosini, Giovanna Groux, Romain Bucher, Philipp |
author_sort | Ambrosini, Giovanna |
collection | PubMed |
description | SUMMARY: Transcription factors regulate gene expression by binding to specific short DNA sequences of 5–20 bp to regulate the rate of transcription of genetic information from DNA to messenger RNA. We present PWMScan, a fast web-based tool to scan server-resident genomes for matches to a user-supplied PWM or transcription factor binding site model from a public database. AVAILABILITY AND IMPLEMENTATION: The web server and source code are available at http://ccg.vital-it.ch/pwmscan and https://sourceforge.net/projects/pwmscan, respectively. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6041753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60417532018-07-17 PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix Ambrosini, Giovanna Groux, Romain Bucher, Philipp Bioinformatics Applications Notes SUMMARY: Transcription factors regulate gene expression by binding to specific short DNA sequences of 5–20 bp to regulate the rate of transcription of genetic information from DNA to messenger RNA. We present PWMScan, a fast web-based tool to scan server-resident genomes for matches to a user-supplied PWM or transcription factor binding site model from a public database. AVAILABILITY AND IMPLEMENTATION: The web server and source code are available at http://ccg.vital-it.ch/pwmscan and https://sourceforge.net/projects/pwmscan, respectively. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-07-15 2018-03-05 /pmc/articles/PMC6041753/ /pubmed/29514181 http://dx.doi.org/10.1093/bioinformatics/bty127 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Ambrosini, Giovanna Groux, Romain Bucher, Philipp PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title | PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title_full | PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title_fullStr | PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title_full_unstemmed | PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title_short | PWMScan: a fast tool for scanning entire genomes with a position-specific weight matrix |
title_sort | pwmscan: a fast tool for scanning entire genomes with a position-specific weight matrix |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041753/ https://www.ncbi.nlm.nih.gov/pubmed/29514181 http://dx.doi.org/10.1093/bioinformatics/bty127 |
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