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ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis

Chromatin immunoprecipitation coupled with sequencing (ChIP-seq) is a technique used to identify protein–DNA interaction sites through antibody pull-down, sequencing and analysis; with enrichment ‘peak’ calling being the most critical analytical step. Benchmarking studies have consistently shown tha...

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Autores principales: Suryatenggara, Jeremiah, Yong, Kol Jia, Tenen, Danielle E, Tenen, Daniel G, Bassal, Mahmoud A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769893/
https://www.ncbi.nlm.nih.gov/pubmed/34965583
http://dx.doi.org/10.1093/bib/bbab537
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author Suryatenggara, Jeremiah
Yong, Kol Jia
Tenen, Danielle E
Tenen, Daniel G
Bassal, Mahmoud A
author_facet Suryatenggara, Jeremiah
Yong, Kol Jia
Tenen, Danielle E
Tenen, Daniel G
Bassal, Mahmoud A
author_sort Suryatenggara, Jeremiah
collection PubMed
description Chromatin immunoprecipitation coupled with sequencing (ChIP-seq) is a technique used to identify protein–DNA interaction sites through antibody pull-down, sequencing and analysis; with enrichment ‘peak’ calling being the most critical analytical step. Benchmarking studies have consistently shown that peak callers have distinct selectivity and specificity characteristics that are not additive and seldom completely overlap in many scenarios, even after parameter optimization. We therefore developed ChIP-AP, an integrated ChIP-seq analysis pipeline utilizing four independent peak callers, which seamlessly processes raw sequencing files to final result. This approach enables (1) better gauging of peak confidence through detection by multiple algorithms, and (2) more thoroughly surveys the binding landscape by capturing peaks not detected by individual callers. Final analysis results are then integrated into a single output table, enabling users to explore their data by applying selectivity and sensitivity thresholds that best address their biological questions, without needing any additional reprocessing. ChIP-AP therefore presents investigators with a more comprehensive coverage of the binding landscape without requiring additional wet-lab observations.
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spelling pubmed-87698932022-01-20 ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis Suryatenggara, Jeremiah Yong, Kol Jia Tenen, Danielle E Tenen, Daniel G Bassal, Mahmoud A Brief Bioinform Problem Solving Protocol Chromatin immunoprecipitation coupled with sequencing (ChIP-seq) is a technique used to identify protein–DNA interaction sites through antibody pull-down, sequencing and analysis; with enrichment ‘peak’ calling being the most critical analytical step. Benchmarking studies have consistently shown that peak callers have distinct selectivity and specificity characteristics that are not additive and seldom completely overlap in many scenarios, even after parameter optimization. We therefore developed ChIP-AP, an integrated ChIP-seq analysis pipeline utilizing four independent peak callers, which seamlessly processes raw sequencing files to final result. This approach enables (1) better gauging of peak confidence through detection by multiple algorithms, and (2) more thoroughly surveys the binding landscape by capturing peaks not detected by individual callers. Final analysis results are then integrated into a single output table, enabling users to explore their data by applying selectivity and sensitivity thresholds that best address their biological questions, without needing any additional reprocessing. ChIP-AP therefore presents investigators with a more comprehensive coverage of the binding landscape without requiring additional wet-lab observations. Oxford University Press 2021-12-30 /pmc/articles/PMC8769893/ /pubmed/34965583 http://dx.doi.org/10.1093/bib/bbab537 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Problem Solving Protocol
Suryatenggara, Jeremiah
Yong, Kol Jia
Tenen, Danielle E
Tenen, Daniel G
Bassal, Mahmoud A
ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title_full ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title_fullStr ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title_full_unstemmed ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title_short ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
title_sort chip-ap: an integrated analysis pipeline for unbiased chip-seq analysis
topic Problem Solving Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769893/
https://www.ncbi.nlm.nih.gov/pubmed/34965583
http://dx.doi.org/10.1093/bib/bbab537
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