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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.
Affiliation
  • Park SG; Department of Molecular Genetics & Dental Pharmacology, School of Dentistry and Dental Multiomics Center, Dental Research Institute, Seoul National University, Seoul, South Korea.
  • Kim WJ; Epigenetic Regulation of Aged Skeleto-Muscular System Laboratory, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, South Korea.
  • Moon JI; Department of Molecular Genetics & Dental Pharmacology, School of Dentistry and Dental Multiomics Center, Dental Research Institute, Seoul National University, Seoul, South Korea.
  • Kim KT; Epigenetic Regulation of Aged Skeleto-Muscular System Laboratory, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, South Korea.
  • Ryoo HM; Department of Molecular Genetics & Dental Pharmacology, School of Dentistry and Dental Multiomics Center, Dental Research Institute, Seoul National University, Seoul, South Korea.
Sci Rep ; 13(1): 20859, 2023 11 27.
Article in En | MEDLINE | ID: mdl-38012291
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Epigenome Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Korea (South) Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Epigenome Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: Korea (South) Country of publication: United kingdom