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ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization
ChIA-PET (chromatin interaction analysis with paired-end tags) enables genome-wide discovery of chromatin interactions involving specific protein factors, with base pair resolution. Interpretation of ChIA-PET data requires a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated p...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439456/ https://www.ncbi.nlm.nih.gov/pubmed/32832596 http://dx.doi.org/10.1126/sciadv.aay2078 |
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author | Lee, Byoungkoo Wang, Jiahui Cai, Liuyang Kim, Minji Namburi, Sandeep Tjong, Harianto Feng, Yuliang Wang, Ping Tang, Zhonghui Abbas, Ahmed Wei, Chia-Lin Ruan, Yijun Li, Sheng |
author_facet | Lee, Byoungkoo Wang, Jiahui Cai, Liuyang Kim, Minji Namburi, Sandeep Tjong, Harianto Feng, Yuliang Wang, Ping Tang, Zhonghui Abbas, Ahmed Wei, Chia-Lin Ruan, Yijun Li, Sheng |
author_sort | Lee, Byoungkoo |
collection | PubMed |
description | ChIA-PET (chromatin interaction analysis with paired-end tags) enables genome-wide discovery of chromatin interactions involving specific protein factors, with base pair resolution. Interpretation of ChIA-PET data requires a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, visualization, and analysis. ChIA-PIPE performs linker filtering, read mapping, peak calling, and loop calling and automates quality control assessment for each dataset. To enable visualization, ChIA-PIPE generates input files for two-dimensional contact map viewing with Juicebox and HiGlass and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. To enable structural interpretation, ChIA-PIPE calls chromatin contact domains, resolves allele-specific peaks and loops, and annotates enhancer-promoter loops. ChIA-PIPE also supports the analysis of other related chromatin-mapping data types. |
format | Online Article Text |
id | pubmed-7439456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74394562020-08-20 ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization Lee, Byoungkoo Wang, Jiahui Cai, Liuyang Kim, Minji Namburi, Sandeep Tjong, Harianto Feng, Yuliang Wang, Ping Tang, Zhonghui Abbas, Ahmed Wei, Chia-Lin Ruan, Yijun Li, Sheng Sci Adv Research Articles ChIA-PET (chromatin interaction analysis with paired-end tags) enables genome-wide discovery of chromatin interactions involving specific protein factors, with base pair resolution. Interpretation of ChIA-PET data requires a robust analytic pipeline. Here, we introduce ChIA-PIPE, a fully automated pipeline for ChIA-PET data processing, quality assessment, visualization, and analysis. ChIA-PIPE performs linker filtering, read mapping, peak calling, and loop calling and automates quality control assessment for each dataset. To enable visualization, ChIA-PIPE generates input files for two-dimensional contact map viewing with Juicebox and HiGlass and provides a new dockerized visualization tool for high-resolution, browser-based exploration of peaks and loops. To enable structural interpretation, ChIA-PIPE calls chromatin contact domains, resolves allele-specific peaks and loops, and annotates enhancer-promoter loops. ChIA-PIPE also supports the analysis of other related chromatin-mapping data types. American Association for the Advancement of Science 2020-07-10 /pmc/articles/PMC7439456/ /pubmed/32832596 http://dx.doi.org/10.1126/sciadv.aay2078 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Lee, Byoungkoo Wang, Jiahui Cai, Liuyang Kim, Minji Namburi, Sandeep Tjong, Harianto Feng, Yuliang Wang, Ping Tang, Zhonghui Abbas, Ahmed Wei, Chia-Lin Ruan, Yijun Li, Sheng ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title | ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title_full | ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title_fullStr | ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title_full_unstemmed | ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title_short | ChIA-PIPE: A fully automated pipeline for comprehensive ChIA-PET data analysis and visualization |
title_sort | chia-pipe: a fully automated pipeline for comprehensive chia-pet data analysis and visualization |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439456/ https://www.ncbi.nlm.nih.gov/pubmed/32832596 http://dx.doi.org/10.1126/sciadv.aay2078 |
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