Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784635245341966336 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8769893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT suryatenggarajeremiah chipapanintegratedanalysispipelineforunbiasedchipseqanalysis AT yongkoljia chipapanintegratedanalysispipelineforunbiasedchipseqanalysis AT tenendaniellee chipapanintegratedanalysispipelineforunbiasedchipseqanalysis AT tenendanielg chipapanintegratedanalysispipelineforunbiasedchipseqanalysis AT bassalmahmouda chipapanintegratedanalysispipelineforunbiasedchipseqanalysis |