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MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets

Finding binding site motifs plays an important role in bioinformatics as it reveals the transcription factors that control the gene expression. The development for motif finders has flourished in the past years with many tools have been introduced to the research community. Although these tools poss...

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Autores principales: Tran, Ngoc Tam L., Huang, Chun-Hsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610392/
https://www.ncbi.nlm.nih.gov/pubmed/28632401
http://dx.doi.org/10.1089/cmb.2017.0005
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author Tran, Ngoc Tam L.
Huang, Chun-Hsi
author_facet Tran, Ngoc Tam L.
Huang, Chun-Hsi
author_sort Tran, Ngoc Tam L.
collection PubMed
description Finding binding site motifs plays an important role in bioinformatics as it reveals the transcription factors that control the gene expression. The development for motif finders has flourished in the past years with many tools have been introduced to the research community. Although these tools possess exceptional features for detecting motifs, they report different results for an identical data set. Hence, using multiple tools is recommended because motifs reported by several tools are likely biologically significant. However, the results from multiple tools need to be compared for obtaining common significant motifs. MOTIFSIM web tool and command-line tool were developed for this purpose. In this work, we present several technical improvements as well as additional features to further support the motif analysis in our new release MOTIFSIM 2.1.
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spelling pubmed-56103922017-09-25 MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets Tran, Ngoc Tam L. Huang, Chun-Hsi J Comput Biol Research Articles Finding binding site motifs plays an important role in bioinformatics as it reveals the transcription factors that control the gene expression. The development for motif finders has flourished in the past years with many tools have been introduced to the research community. Although these tools possess exceptional features for detecting motifs, they report different results for an identical data set. Hence, using multiple tools is recommended because motifs reported by several tools are likely biologically significant. However, the results from multiple tools need to be compared for obtaining common significant motifs. MOTIFSIM web tool and command-line tool were developed for this purpose. In this work, we present several technical improvements as well as additional features to further support the motif analysis in our new release MOTIFSIM 2.1. Mary Ann Liebert, Inc. 2017-09-01 2017-09-01 /pmc/articles/PMC5610392/ /pubmed/28632401 http://dx.doi.org/10.1089/cmb.2017.0005 Text en © Ngoc Tam L. Tran and Chun-Hsi Huang, 2017. Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Research Articles
Tran, Ngoc Tam L.
Huang, Chun-Hsi
MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title_full MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title_fullStr MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title_full_unstemmed MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title_short MOTIFSIM 2.1: An Enhanced Software Platform for Detecting Similarity in Multiple DNA Motif Data Sets
title_sort motifsim 2.1: an enhanced software platform for detecting similarity in multiple dna motif data sets
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610392/
https://www.ncbi.nlm.nih.gov/pubmed/28632401
http://dx.doi.org/10.1089/cmb.2017.0005
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