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peaksat: an R package for ChIP-seq peak saturation analysis
BACKGROUND: Epigenomic profiling assays such as ChIP-seq have been widely used to map the genome-wide enrichment profiles of chromatin-associated proteins and posttranslational histone modifications. Sequencing depth is a key parameter in experimental design and quality control. However, due to vari...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878872/ https://www.ncbi.nlm.nih.gov/pubmed/36698077 http://dx.doi.org/10.1186/s12864-023-09109-7 |
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author | Boyd, Joseph R Gao, Cong Quinn, Kathleen Fritz, Andrew Stein, Janet Stein, Gary Glass, Karen Frietze, Seth |
author_facet | Boyd, Joseph R Gao, Cong Quinn, Kathleen Fritz, Andrew Stein, Janet Stein, Gary Glass, Karen Frietze, Seth |
author_sort | Boyd, Joseph R |
collection | PubMed |
description | BACKGROUND: Epigenomic profiling assays such as ChIP-seq have been widely used to map the genome-wide enrichment profiles of chromatin-associated proteins and posttranslational histone modifications. Sequencing depth is a key parameter in experimental design and quality control. However, due to variable sequencing depth requirements across experimental conditions, it can be challenging to determine optimal sequencing depth, particularly for projects involving multiple targets or cell types. RESULTS: We developed the peaksat R package to provide target read depth estimates for epigenomic experiments based on the analysis of peak saturation curves. We applied peaksat to establish the distinctive read depth requirements for ChIP-seq studies of histone modifications in different cell lines. Using peaksat, we were able to estimate the target read depth required per library to obtain high-quality peak calls for downstream analysis. In addition, peaksat was applied to other sequence-enrichment methods including CUT&RUN and ATAC-seq. CONCLUSION: peaksat addresses a need for researchers to make informed decisions about whether their sequencing data has been generated to an adequate depth and subsequently sufficient meaningful peaks, and failing that, how many more reads would be required per library. peaksat is applicable to other sequence-based methods that include calling peaks in their analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09109-7. |
format | Online Article Text |
id | pubmed-9878872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98788722023-01-27 peaksat: an R package for ChIP-seq peak saturation analysis Boyd, Joseph R Gao, Cong Quinn, Kathleen Fritz, Andrew Stein, Janet Stein, Gary Glass, Karen Frietze, Seth BMC Genomics Research BACKGROUND: Epigenomic profiling assays such as ChIP-seq have been widely used to map the genome-wide enrichment profiles of chromatin-associated proteins and posttranslational histone modifications. Sequencing depth is a key parameter in experimental design and quality control. However, due to variable sequencing depth requirements across experimental conditions, it can be challenging to determine optimal sequencing depth, particularly for projects involving multiple targets or cell types. RESULTS: We developed the peaksat R package to provide target read depth estimates for epigenomic experiments based on the analysis of peak saturation curves. We applied peaksat to establish the distinctive read depth requirements for ChIP-seq studies of histone modifications in different cell lines. Using peaksat, we were able to estimate the target read depth required per library to obtain high-quality peak calls for downstream analysis. In addition, peaksat was applied to other sequence-enrichment methods including CUT&RUN and ATAC-seq. CONCLUSION: peaksat addresses a need for researchers to make informed decisions about whether their sequencing data has been generated to an adequate depth and subsequently sufficient meaningful peaks, and failing that, how many more reads would be required per library. peaksat is applicable to other sequence-based methods that include calling peaks in their analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09109-7. BioMed Central 2023-01-25 /pmc/articles/PMC9878872/ /pubmed/36698077 http://dx.doi.org/10.1186/s12864-023-09109-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Boyd, Joseph R Gao, Cong Quinn, Kathleen Fritz, Andrew Stein, Janet Stein, Gary Glass, Karen Frietze, Seth peaksat: an R package for ChIP-seq peak saturation analysis |
title | peaksat: an R package for ChIP-seq peak saturation analysis |
title_full | peaksat: an R package for ChIP-seq peak saturation analysis |
title_fullStr | peaksat: an R package for ChIP-seq peak saturation analysis |
title_full_unstemmed | peaksat: an R package for ChIP-seq peak saturation analysis |
title_short | peaksat: an R package for ChIP-seq peak saturation analysis |
title_sort | peaksat: an r package for chip-seq peak saturation analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878872/ https://www.ncbi.nlm.nih.gov/pubmed/36698077 http://dx.doi.org/10.1186/s12864-023-09109-7 |
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