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Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis
Genome-wide mapping of transcription factor binding and histone modification reveals complex patterns of interactions. Identifying overlaps in binding patterns by different factors is a major objective of genomic studies, but existing methods to archive large numbers of datasets in a personalised da...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922719/ https://www.ncbi.nlm.nih.gov/pubmed/24533055 http://dx.doi.org/10.1371/journal.pone.0087301 |
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author | Khushi, Matloob Liddle, Christopher Clarke, Christine L. Graham, J. Dinny |
author_facet | Khushi, Matloob Liddle, Christopher Clarke, Christine L. Graham, J. Dinny |
author_sort | Khushi, Matloob |
collection | PubMed |
description | Genome-wide mapping of transcription factor binding and histone modification reveals complex patterns of interactions. Identifying overlaps in binding patterns by different factors is a major objective of genomic studies, but existing methods to archive large numbers of datasets in a personalised database lack sophistication and utility. Therefore we have developed transcription factor DNA binding site analyser software (BiSA), for archiving of binding regions and easy identification of overlap with or proximity to other regions of interest. Analysis results can be restricted by chromosome or base pair overlap between regions or maximum distance between binding peaks. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are nearby; regions that are not overlapping; and average region sizes. BiSA can identify genes located near binding regions of interest, genomic features near a gene or locus of interest and statistical significance of overlapping regions can also be reported. Overlapping results can be visualized as Venn diagrams. A major strength of BiSA is that it is supported by a comprehensive database of publicly available transcription factor binding sites and histone modifications, which can be directly compared to user data. The documentation and source code are available on http://bisa.sourceforge.net |
format | Online Article Text |
id | pubmed-3922719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39227192014-02-14 Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis Khushi, Matloob Liddle, Christopher Clarke, Christine L. Graham, J. Dinny PLoS One Research Article Genome-wide mapping of transcription factor binding and histone modification reveals complex patterns of interactions. Identifying overlaps in binding patterns by different factors is a major objective of genomic studies, but existing methods to archive large numbers of datasets in a personalised database lack sophistication and utility. Therefore we have developed transcription factor DNA binding site analyser software (BiSA), for archiving of binding regions and easy identification of overlap with or proximity to other regions of interest. Analysis results can be restricted by chromosome or base pair overlap between regions or maximum distance between binding peaks. BiSA is capable of reporting overlapping regions that share common base pairs; regions that are nearby; regions that are not overlapping; and average region sizes. BiSA can identify genes located near binding regions of interest, genomic features near a gene or locus of interest and statistical significance of overlapping regions can also be reported. Overlapping results can be visualized as Venn diagrams. A major strength of BiSA is that it is supported by a comprehensive database of publicly available transcription factor binding sites and histone modifications, which can be directly compared to user data. The documentation and source code are available on http://bisa.sourceforge.net Public Library of Science 2014-02-12 /pmc/articles/PMC3922719/ /pubmed/24533055 http://dx.doi.org/10.1371/journal.pone.0087301 Text en © 2014 Khushi 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Khushi, Matloob Liddle, Christopher Clarke, Christine L. Graham, J. Dinny Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title | Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title_full | Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title_fullStr | Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title_full_unstemmed | Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title_short | Binding Sites Analyser (BiSA): Software for Genomic Binding Sites Archiving and Overlap Analysis |
title_sort | binding sites analyser (bisa): software for genomic binding sites archiving and overlap analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922719/ https://www.ncbi.nlm.nih.gov/pubmed/24533055 http://dx.doi.org/10.1371/journal.pone.0087301 |
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