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PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci
BACKGROUND: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally-derived signal peaks across the genome under study. In analyzing these loci to determine their potential regulatory func...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923140/ https://www.ncbi.nlm.nih.gov/pubmed/20691053 http://dx.doi.org/10.1186/1471-2105-11-415 |
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author | Salmon-Divon, Mali Dvinge, Heidi Tammoja, Kairi Bertone, Paul |
author_facet | Salmon-Divon, Mali Dvinge, Heidi Tammoja, Kairi Bertone, Paul |
author_sort | Salmon-Divon, Mali |
collection | PubMed |
description | BACKGROUND: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally-derived signal peaks across the genome under study. In analyzing these loci to determine their potential regulatory functions, areas of signal enrichment must be considered relative to proximal genes and regulatory elements annotated throughout the target genome Regions of chromatin association by transcriptional regulators should be distinguished as individual binding sites in order to enhance downstream analyses, such as the identification of known and novel consensus motifs. RESULTS: PeakAnalyzer is a set of high-performance utilities for the automated processing of experimentally-derived peak regions and annotation of genomic loci. The programs can accurately subdivide multimodal regions of signal enrichment into distinct subpeaks corresponding to binding sites or chromatin modifications, retrieve genomic sequences encompassing the computed subpeak summits, and identify positional features of interest such as intersection with exon/intron gene components, proximity to up- or downstream transcriptional start sites and cis-regulatory elements. The software can be configured to run either as a pipeline component for high-throughput analyses, or as a cross-platform desktop application with an intuitive user interface. CONCLUSIONS: PeakAnalyzer comprises a number of utilities essential for ChIP-seq and ChIP-chip data analysis. High-performance implementations are provided for Unix pipeline integration along with a GUI version for interactive use. Source code in C++ and Java is provided, as are native binaries for Linux, Mac OS X and Windows systems. |
format | Text |
id | pubmed-2923140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29231402010-08-18 PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci Salmon-Divon, Mali Dvinge, Heidi Tammoja, Kairi Bertone, Paul BMC Bioinformatics Software BACKGROUND: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally-derived signal peaks across the genome under study. In analyzing these loci to determine their potential regulatory functions, areas of signal enrichment must be considered relative to proximal genes and regulatory elements annotated throughout the target genome Regions of chromatin association by transcriptional regulators should be distinguished as individual binding sites in order to enhance downstream analyses, such as the identification of known and novel consensus motifs. RESULTS: PeakAnalyzer is a set of high-performance utilities for the automated processing of experimentally-derived peak regions and annotation of genomic loci. The programs can accurately subdivide multimodal regions of signal enrichment into distinct subpeaks corresponding to binding sites or chromatin modifications, retrieve genomic sequences encompassing the computed subpeak summits, and identify positional features of interest such as intersection with exon/intron gene components, proximity to up- or downstream transcriptional start sites and cis-regulatory elements. The software can be configured to run either as a pipeline component for high-throughput analyses, or as a cross-platform desktop application with an intuitive user interface. CONCLUSIONS: PeakAnalyzer comprises a number of utilities essential for ChIP-seq and ChIP-chip data analysis. High-performance implementations are provided for Unix pipeline integration along with a GUI version for interactive use. Source code in C++ and Java is provided, as are native binaries for Linux, Mac OS X and Windows systems. BioMed Central 2010-08-06 /pmc/articles/PMC2923140/ /pubmed/20691053 http://dx.doi.org/10.1186/1471-2105-11-415 Text en Copyright ©2010 Salmon-Divon et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Salmon-Divon, Mali Dvinge, Heidi Tammoja, Kairi Bertone, Paul PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title | PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title_full | PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title_fullStr | PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title_full_unstemmed | PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title_short | PeakAnalyzer: Genome-wide annotation of chromatin binding and modification loci |
title_sort | peakanalyzer: genome-wide annotation of chromatin binding and modification loci |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2923140/ https://www.ncbi.nlm.nih.gov/pubmed/20691053 http://dx.doi.org/10.1186/1471-2105-11-415 |
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