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Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data
SUMMARY: Capture Hi-C is a powerful approach for detecting chromosomal interactions involving, at least on one end, DNA regions of interest, such as gene promoters. We present Chicdiff, an R package for robust detection of differential interactions in Capture Hi-C data. Chicdiff enhances a state-of-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853696/ https://www.ncbi.nlm.nih.gov/pubmed/31197313 http://dx.doi.org/10.1093/bioinformatics/btz450 |
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author | Cairns, Jonathan Orchard, William R Malysheva, Valeriya Spivakov, Mikhail |
author_facet | Cairns, Jonathan Orchard, William R Malysheva, Valeriya Spivakov, Mikhail |
author_sort | Cairns, Jonathan |
collection | PubMed |
description | SUMMARY: Capture Hi-C is a powerful approach for detecting chromosomal interactions involving, at least on one end, DNA regions of interest, such as gene promoters. We present Chicdiff, an R package for robust detection of differential interactions in Capture Hi-C data. Chicdiff enhances a state-of-the-art differential testing approach for count data with bespoke normalization and multiple testing procedures that account for specific statistical properties of Capture Hi-C. We validate Chicdiff on published Promoter Capture Hi-C data in human Monocytes and CD4(+) T cells, identifying multitudes of cell type-specific interactions, and confirming the overall positive association between promoter interactions and gene expression. AVAILABILITY AND IMPLEMENTATION: Chicdiff is implemented as an R package that is publicly available at https://github.com/RegulatoryGenomicsGroup/chicdiff. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6853696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68536962019-11-19 Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data Cairns, Jonathan Orchard, William R Malysheva, Valeriya Spivakov, Mikhail Bioinformatics Applications Notes SUMMARY: Capture Hi-C is a powerful approach for detecting chromosomal interactions involving, at least on one end, DNA regions of interest, such as gene promoters. We present Chicdiff, an R package for robust detection of differential interactions in Capture Hi-C data. Chicdiff enhances a state-of-the-art differential testing approach for count data with bespoke normalization and multiple testing procedures that account for specific statistical properties of Capture Hi-C. We validate Chicdiff on published Promoter Capture Hi-C data in human Monocytes and CD4(+) T cells, identifying multitudes of cell type-specific interactions, and confirming the overall positive association between promoter interactions and gene expression. AVAILABILITY AND IMPLEMENTATION: Chicdiff is implemented as an R package that is publicly available at https://github.com/RegulatoryGenomicsGroup/chicdiff. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-11-15 2019-06-14 /pmc/articles/PMC6853696/ /pubmed/31197313 http://dx.doi.org/10.1093/bioinformatics/btz450 Text en © The Author(s) 2019. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Cairns, Jonathan Orchard, William R Malysheva, Valeriya Spivakov, Mikhail Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title | Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title_full | Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title_fullStr | Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title_full_unstemmed | Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title_short | Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data |
title_sort | chicdiff: a computational pipeline for detecting differential chromosomal interactions in capture hi-c data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853696/ https://www.ncbi.nlm.nih.gov/pubmed/31197313 http://dx.doi.org/10.1093/bioinformatics/btz450 |
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