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MESIA: multi-epigenome sample integration approach for precise peak calling
The assay for transposase-accessible chromatin with sequencing (ATAC-seq) is the most widely used method for measuring chromatin accessibility. Researchers have included multi-sample replication in ATAC-seq experimental designs. In epigenomic analysis, researchers should measure subtle changes in th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681995/ https://www.ncbi.nlm.nih.gov/pubmed/38012291 http://dx.doi.org/10.1038/s41598-023-47948-2 |
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author | Park, Seung Gwa Kim, Woo-Jin Moon, Jae-I Kim, Ki-Tae Ryoo, Hyun-Mo |
author_facet | Park, Seung Gwa Kim, Woo-Jin Moon, Jae-I Kim, Ki-Tae Ryoo, Hyun-Mo |
author_sort | Park, Seung Gwa |
collection | PubMed |
description | The assay for transposase-accessible chromatin with sequencing (ATAC-seq) is the most widely used method for measuring chromatin accessibility. Researchers have included multi-sample replication in ATAC-seq experimental designs. In epigenomic analysis, researchers should measure subtle changes in the peak by considering the read depth of individual samples. It is important to determine whether the peaks of each replication have an integrative meaning for the region of interest observed during multi-sample integration. We developed multi-epigenome sample integration approach for precise peak calling (MESIA), which integrates replication with high representativeness and reproducibility in multi-sample replication and determines the optimal peak. After identifying the reproducibility between all replications, our method integrated multiple samples determined as representative replicates. MESIA detected 6.06 times more peaks, and the value of the peaks was 1.32 times higher than the previously used method. MESIA is a shell-script-based open-source code that provides researchers involved in the epigenome with comprehensive insights. |
format | Online Article Text |
id | pubmed-10681995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106819952023-11-30 MESIA: multi-epigenome sample integration approach for precise peak calling Park, Seung Gwa Kim, Woo-Jin Moon, Jae-I Kim, Ki-Tae Ryoo, Hyun-Mo Sci Rep Article The assay for transposase-accessible chromatin with sequencing (ATAC-seq) is the most widely used method for measuring chromatin accessibility. Researchers have included multi-sample replication in ATAC-seq experimental designs. In epigenomic analysis, researchers should measure subtle changes in the peak by considering the read depth of individual samples. It is important to determine whether the peaks of each replication have an integrative meaning for the region of interest observed during multi-sample integration. We developed multi-epigenome sample integration approach for precise peak calling (MESIA), which integrates replication with high representativeness and reproducibility in multi-sample replication and determines the optimal peak. After identifying the reproducibility between all replications, our method integrated multiple samples determined as representative replicates. MESIA detected 6.06 times more peaks, and the value of the peaks was 1.32 times higher than the previously used method. MESIA is a shell-script-based open-source code that provides researchers involved in the epigenome with comprehensive insights. Nature Publishing Group UK 2023-11-27 /pmc/articles/PMC10681995/ /pubmed/38012291 http://dx.doi.org/10.1038/s41598-023-47948-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Park, Seung Gwa Kim, Woo-Jin Moon, Jae-I Kim, Ki-Tae Ryoo, Hyun-Mo MESIA: multi-epigenome sample integration approach for precise peak calling |
title | MESIA: multi-epigenome sample integration approach for precise peak calling |
title_full | MESIA: multi-epigenome sample integration approach for precise peak calling |
title_fullStr | MESIA: multi-epigenome sample integration approach for precise peak calling |
title_full_unstemmed | MESIA: multi-epigenome sample integration approach for precise peak calling |
title_short | MESIA: multi-epigenome sample integration approach for precise peak calling |
title_sort | mesia: multi-epigenome sample integration approach for precise peak calling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681995/ https://www.ncbi.nlm.nih.gov/pubmed/38012291 http://dx.doi.org/10.1038/s41598-023-47948-2 |
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