The DNA methylation haplotype (mHap) format and mHapTools

Author:

Zhang Zhiqiang1,Dan Yuhao2,Xu Yaochen1,Zhang Jiarui3,Zheng Xiaoqi2,Shi Jiantao1ORCID

Affiliation:

1. State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science Chinese Academy of Sciences, Shanghai 200031, China

2. Department of Mathematics, Shanghai Normal University, Shanghai 200234, China

3. Shanghai Science and Technology Development Co., Ltd, Shanghai 200235, China

Abstract

Abstract Summary Bisulfite sequencing (BS-seq) is currently the gold standard for measuring genome-wide DNA methylation profiles at single-nucleotide resolution. Most analyses focus on mean CpG methylation and ignore methylation states on the same DNA fragments [DNA methylation haplotypes (mHaps)]. Here, we propose mHap, a simple DNA mHap format for storing DNA BS-seq data. This format reduces the size of a BAM file by 40- to 140-fold while retaining complete read-level CpG methylation information. It is also compatible with the Tabix tool for fast and random access. We implemented a command-line tool, mHapTools, for converting BAM/SAM files from existing platforms to mHap files as well as post-processing DNA methylation data in mHap format. With this tool, we processed all publicly available human reduced representation bisulfite sequencing data and provided these data as a comprehensive mHap database. Availability and implementation https://jiantaoshi.github.io/mHap/index.html. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Hundred Talents Program

Chinese Academy of Sciences

Shanghai Pujiang Program

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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