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iFORM: Incorporating Find Occurrence of Regulatory Motifs

Accurately identifying the binding sites of transcription factors (TFs) is crucial to understanding the mechanisms of transcriptional regulation and human disease. We present incorporating Find Occurrence of Regulatory Motifs (iFORM), an easy-to-use and efficient tool for scanning DNA sequences with...

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Autores principales: Ren, Chao, Chen, Hebing, Yang, Bite, Liu, Feng, Ouyang, Zhangyi, Bo, Xiaochen, Shu, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167396/
https://www.ncbi.nlm.nih.gov/pubmed/27992540
http://dx.doi.org/10.1371/journal.pone.0168607
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author Ren, Chao
Chen, Hebing
Yang, Bite
Liu, Feng
Ouyang, Zhangyi
Bo, Xiaochen
Shu, Wenjie
author_facet Ren, Chao
Chen, Hebing
Yang, Bite
Liu, Feng
Ouyang, Zhangyi
Bo, Xiaochen
Shu, Wenjie
author_sort Ren, Chao
collection PubMed
description Accurately identifying the binding sites of transcription factors (TFs) is crucial to understanding the mechanisms of transcriptional regulation and human disease. We present incorporating Find Occurrence of Regulatory Motifs (iFORM), an easy-to-use and efficient tool for scanning DNA sequences with TF motifs described as position weight matrices (PWMs). Both performance assessment with a receiver operating characteristic (ROC) curve and a correlation-based approach demonstrated that iFORM achieves higher accuracy and sensitivity by integrating five classical motif discovery programs using Fisher’s combined probability test. We have used iFORM to provide accurate results on a variety of data in the ENCODE Project and the NIH Roadmap Epigenomics Project, and the tool has demonstrated its utility in further elucidating individual roles of functional elements. Both the source and binary codes for iFORM can be freely accessed at https://github.com/wenjiegroup/iFORM. The identified TF binding sites across human cell and tissue types using iFORM have been deposited in the Gene Expression Omnibus under the accession ID GSE53962.
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spelling pubmed-51673962017-01-04 iFORM: Incorporating Find Occurrence of Regulatory Motifs Ren, Chao Chen, Hebing Yang, Bite Liu, Feng Ouyang, Zhangyi Bo, Xiaochen Shu, Wenjie PLoS One Research Article Accurately identifying the binding sites of transcription factors (TFs) is crucial to understanding the mechanisms of transcriptional regulation and human disease. We present incorporating Find Occurrence of Regulatory Motifs (iFORM), an easy-to-use and efficient tool for scanning DNA sequences with TF motifs described as position weight matrices (PWMs). Both performance assessment with a receiver operating characteristic (ROC) curve and a correlation-based approach demonstrated that iFORM achieves higher accuracy and sensitivity by integrating five classical motif discovery programs using Fisher’s combined probability test. We have used iFORM to provide accurate results on a variety of data in the ENCODE Project and the NIH Roadmap Epigenomics Project, and the tool has demonstrated its utility in further elucidating individual roles of functional elements. Both the source and binary codes for iFORM can be freely accessed at https://github.com/wenjiegroup/iFORM. The identified TF binding sites across human cell and tissue types using iFORM have been deposited in the Gene Expression Omnibus under the accession ID GSE53962. Public Library of Science 2016-12-19 /pmc/articles/PMC5167396/ /pubmed/27992540 http://dx.doi.org/10.1371/journal.pone.0168607 Text en © 2016 Ren et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ren, Chao
Chen, Hebing
Yang, Bite
Liu, Feng
Ouyang, Zhangyi
Bo, Xiaochen
Shu, Wenjie
iFORM: Incorporating Find Occurrence of Regulatory Motifs
title iFORM: Incorporating Find Occurrence of Regulatory Motifs
title_full iFORM: Incorporating Find Occurrence of Regulatory Motifs
title_fullStr iFORM: Incorporating Find Occurrence of Regulatory Motifs
title_full_unstemmed iFORM: Incorporating Find Occurrence of Regulatory Motifs
title_short iFORM: Incorporating Find Occurrence of Regulatory Motifs
title_sort iform: incorporating find occurrence of regulatory motifs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167396/
https://www.ncbi.nlm.nih.gov/pubmed/27992540
http://dx.doi.org/10.1371/journal.pone.0168607
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