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The PinkThing for analysing ChIP profiling data in their genomic context

BACKGROUND: Current epigenetic research makes frequent use of whole-genome ChIP profiling for determining the in vivo binding of proteins, e.g. transcription factors and histones, to DNA. Two important and recurrent questions for these large scale analyses are: 1) What is the genomic distribution of...

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Autores principales: Nielsen, Fiona G, Kooyman, Maarten, Kensche, Philip, Marks, Hendrik, Stunnenberg, Henk, Huynen, Martijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674928/
https://www.ncbi.nlm.nih.gov/pubmed/23557140
http://dx.doi.org/10.1186/1756-0500-6-133
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author Nielsen, Fiona G
Kooyman, Maarten
Kensche, Philip
Marks, Hendrik
Stunnenberg, Henk
Huynen, Martijn
author_facet Nielsen, Fiona G
Kooyman, Maarten
Kensche, Philip
Marks, Hendrik
Stunnenberg, Henk
Huynen, Martijn
author_sort Nielsen, Fiona G
collection PubMed
description BACKGROUND: Current epigenetic research makes frequent use of whole-genome ChIP profiling for determining the in vivo binding of proteins, e.g. transcription factors and histones, to DNA. Two important and recurrent questions for these large scale analyses are: 1) What is the genomic distribution of a set of binding sites? and 2) Does this genomic distribution differ significantly from another set of sites? FINDINGS: We exemplify the functionality of the PinkThing by analysing a ChIP profiling dataset of cohesin binding sites. We show the subset of cohesin sites with no CTCF binding have a characteristic genomic distribution different from the set of all cohesin sites. CONCLUSIONS: The PinkThing is a web application for fast and easy analysis of the context of genomic loci, such as peaks from ChIP profiling experiments. The output of the PinkThing analysis includes: categorisation of position relative to genes (intronic, exonic, 5’ near, 3’ near 5’ far, 3’ far and distant), distance to the closest annotated 3’ and 5’ end of genes, direction of transcription of the nearest gene, and the option to include other genomic elements like ESTs and CpG islands. The PinkThing enables easy statistical comparison between experiments, i.e. experimental versus background sets, reporting over- and underrepresentation as well as p-values for all comparisons. Access and use of the PinkThing is free and open (without registration) to all users via the website: http://pinkthing.cmbi.ru.nl
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spelling pubmed-36749282013-06-10 The PinkThing for analysing ChIP profiling data in their genomic context Nielsen, Fiona G Kooyman, Maarten Kensche, Philip Marks, Hendrik Stunnenberg, Henk Huynen, Martijn BMC Res Notes Technical Note BACKGROUND: Current epigenetic research makes frequent use of whole-genome ChIP profiling for determining the in vivo binding of proteins, e.g. transcription factors and histones, to DNA. Two important and recurrent questions for these large scale analyses are: 1) What is the genomic distribution of a set of binding sites? and 2) Does this genomic distribution differ significantly from another set of sites? FINDINGS: We exemplify the functionality of the PinkThing by analysing a ChIP profiling dataset of cohesin binding sites. We show the subset of cohesin sites with no CTCF binding have a characteristic genomic distribution different from the set of all cohesin sites. CONCLUSIONS: The PinkThing is a web application for fast and easy analysis of the context of genomic loci, such as peaks from ChIP profiling experiments. The output of the PinkThing analysis includes: categorisation of position relative to genes (intronic, exonic, 5’ near, 3’ near 5’ far, 3’ far and distant), distance to the closest annotated 3’ and 5’ end of genes, direction of transcription of the nearest gene, and the option to include other genomic elements like ESTs and CpG islands. The PinkThing enables easy statistical comparison between experiments, i.e. experimental versus background sets, reporting over- and underrepresentation as well as p-values for all comparisons. Access and use of the PinkThing is free and open (without registration) to all users via the website: http://pinkthing.cmbi.ru.nl BioMed Central 2013-04-04 /pmc/articles/PMC3674928/ /pubmed/23557140 http://dx.doi.org/10.1186/1756-0500-6-133 Text en Copyright © 2013 Nielsen 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 Technical Note
Nielsen, Fiona G
Kooyman, Maarten
Kensche, Philip
Marks, Hendrik
Stunnenberg, Henk
Huynen, Martijn
The PinkThing for analysing ChIP profiling data in their genomic context
title The PinkThing for analysing ChIP profiling data in their genomic context
title_full The PinkThing for analysing ChIP profiling data in their genomic context
title_fullStr The PinkThing for analysing ChIP profiling data in their genomic context
title_full_unstemmed The PinkThing for analysing ChIP profiling data in their genomic context
title_short The PinkThing for analysing ChIP profiling data in their genomic context
title_sort pinkthing for analysing chip profiling data in their genomic context
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674928/
https://www.ncbi.nlm.nih.gov/pubmed/23557140
http://dx.doi.org/10.1186/1756-0500-6-133
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