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TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets
BACKGROUND: A strong focus of the post-genomic era is mining of the non-coding regulatory genome in order to unravel the function of regulatory elements that coordinate gene expression (Nat 489:57–74, 2012; Nat 507:462–70, 2014; Nat 507:455–61, 2014; Nat 518:317–30, 2015). Whole-genome approaches ba...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887194/ https://www.ncbi.nlm.nih.gov/pubmed/29621972 http://dx.doi.org/10.1186/s12864-018-4630-0 |
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author | Dang, Louis T. Tondl, Markus Chiu, Man Ho H. Revote, Jerico Paten, Benedict Tano, Vincent Tokolyi, Alex Besse, Florence Quaife-Ryan, Greg Cumming, Helen Drvodelic, Mark J. Eichenlaub, Michael P. Hallab, Jeannette C. Stolper, Julian S. Rossello, Fernando J. Bogoyevitch, Marie A. Jans, David A. Nim, Hieu T. Porrello, Enzo R. Hudson, James E. Ramialison, Mirana |
author_facet | Dang, Louis T. Tondl, Markus Chiu, Man Ho H. Revote, Jerico Paten, Benedict Tano, Vincent Tokolyi, Alex Besse, Florence Quaife-Ryan, Greg Cumming, Helen Drvodelic, Mark J. Eichenlaub, Michael P. Hallab, Jeannette C. Stolper, Julian S. Rossello, Fernando J. Bogoyevitch, Marie A. Jans, David A. Nim, Hieu T. Porrello, Enzo R. Hudson, James E. Ramialison, Mirana |
author_sort | Dang, Louis T. |
collection | PubMed |
description | BACKGROUND: A strong focus of the post-genomic era is mining of the non-coding regulatory genome in order to unravel the function of regulatory elements that coordinate gene expression (Nat 489:57–74, 2012; Nat 507:462–70, 2014; Nat 507:455–61, 2014; Nat 518:317–30, 2015). Whole-genome approaches based on next-generation sequencing (NGS) have provided insight into the genomic location of regulatory elements throughout different cell types, organs and organisms. These technologies are now widespread and commonly used in laboratories from various fields of research. This highlights the need for fast and user-friendly software tools dedicated to extracting cis-regulatory information contained in these regulatory regions; for instance transcription factor binding site (TFBS) composition. Ideally, such tools should not require prior programming knowledge to ensure they are accessible for all users. RESULTS: We present TrawlerWeb, a web-based version of the Trawler_standalone tool (Nat Methods 4:563–5, 2007; Nat Protoc 5:323–34, 2010), to allow for the identification of enriched motifs in DNA sequences obtained from next-generation sequencing experiments in order to predict their TFBS composition. TrawlerWeb is designed for online queries with standard options common to web-based motif discovery tools. In addition, TrawlerWeb provides three unique new features: 1) TrawlerWeb allows the input of BED files directly generated from NGS experiments, 2) it automatically generates an input-matched biologically relevant background, and 3) it displays resulting conservation scores for each instance of the motif found in the input sequences, which assists the researcher in prioritising the motifs to validate experimentally. Finally, to date, this web-based version of Trawler_standalone remains the fastest online de novo motif discovery tool compared to other popular web-based software, while generating predictions with high accuracy. CONCLUSIONS: TrawlerWeb provides users with a fast, simple and easy-to-use web interface for de novo motif discovery. This will assist in rapidly analysing NGS datasets that are now being routinely generated. TrawlerWeb is freely available and accessible at: http://trawler.erc.monash.edu.au. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4630-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5887194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58871942018-04-09 TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets Dang, Louis T. Tondl, Markus Chiu, Man Ho H. Revote, Jerico Paten, Benedict Tano, Vincent Tokolyi, Alex Besse, Florence Quaife-Ryan, Greg Cumming, Helen Drvodelic, Mark J. Eichenlaub, Michael P. Hallab, Jeannette C. Stolper, Julian S. Rossello, Fernando J. Bogoyevitch, Marie A. Jans, David A. Nim, Hieu T. Porrello, Enzo R. Hudson, James E. Ramialison, Mirana BMC Genomics Software BACKGROUND: A strong focus of the post-genomic era is mining of the non-coding regulatory genome in order to unravel the function of regulatory elements that coordinate gene expression (Nat 489:57–74, 2012; Nat 507:462–70, 2014; Nat 507:455–61, 2014; Nat 518:317–30, 2015). Whole-genome approaches based on next-generation sequencing (NGS) have provided insight into the genomic location of regulatory elements throughout different cell types, organs and organisms. These technologies are now widespread and commonly used in laboratories from various fields of research. This highlights the need for fast and user-friendly software tools dedicated to extracting cis-regulatory information contained in these regulatory regions; for instance transcription factor binding site (TFBS) composition. Ideally, such tools should not require prior programming knowledge to ensure they are accessible for all users. RESULTS: We present TrawlerWeb, a web-based version of the Trawler_standalone tool (Nat Methods 4:563–5, 2007; Nat Protoc 5:323–34, 2010), to allow for the identification of enriched motifs in DNA sequences obtained from next-generation sequencing experiments in order to predict their TFBS composition. TrawlerWeb is designed for online queries with standard options common to web-based motif discovery tools. In addition, TrawlerWeb provides three unique new features: 1) TrawlerWeb allows the input of BED files directly generated from NGS experiments, 2) it automatically generates an input-matched biologically relevant background, and 3) it displays resulting conservation scores for each instance of the motif found in the input sequences, which assists the researcher in prioritising the motifs to validate experimentally. Finally, to date, this web-based version of Trawler_standalone remains the fastest online de novo motif discovery tool compared to other popular web-based software, while generating predictions with high accuracy. CONCLUSIONS: TrawlerWeb provides users with a fast, simple and easy-to-use web interface for de novo motif discovery. This will assist in rapidly analysing NGS datasets that are now being routinely generated. TrawlerWeb is freely available and accessible at: http://trawler.erc.monash.edu.au. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4630-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-05 /pmc/articles/PMC5887194/ /pubmed/29621972 http://dx.doi.org/10.1186/s12864-018-4630-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Dang, Louis T. Tondl, Markus Chiu, Man Ho H. Revote, Jerico Paten, Benedict Tano, Vincent Tokolyi, Alex Besse, Florence Quaife-Ryan, Greg Cumming, Helen Drvodelic, Mark J. Eichenlaub, Michael P. Hallab, Jeannette C. Stolper, Julian S. Rossello, Fernando J. Bogoyevitch, Marie A. Jans, David A. Nim, Hieu T. Porrello, Enzo R. Hudson, James E. Ramialison, Mirana TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title | TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title_full | TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title_fullStr | TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title_full_unstemmed | TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title_short | TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets |
title_sort | trawlerweb: an online de novo motif discovery tool for next-generation sequencing datasets |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887194/ https://www.ncbi.nlm.nih.gov/pubmed/29621972 http://dx.doi.org/10.1186/s12864-018-4630-0 |
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