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Accelerating 3D genomics data analysis with Microcket

Authors :
Yu Zhao
Mengqi Yang
Fanglei Gong
Yuqi Pan
Minghui Hu
Qin Peng
Leina Lu
Xiaowen Lyu
Kun Sun
Source :
Communications Biology, Vol 7, Iss 1, Pp 1-7 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract The three-dimensional (3D) organization of genome is fundamental to cell biology. To explore 3D genome, emerging high-throughput approaches have produced billions of sequencing reads, which is challenging and time-consuming to analyze. Here we present Microcket, a package for mapping and extracting interacting pairs from 3D genomics data, including Hi-C, Micro-C, and derivant protocols. Microcket utilizes a unique read-stitch strategy that takes advantage of the long read cycles in modern DNA sequencers; benchmark evaluations reveal that Microcket runs much faster than the current tools along with improved mapping efficiency, and thus shows high potential in accelerating and enhancing the biological investigations into 3D genome. Microcket is freely available at https://github.com/hellosunking/Microcket .

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
23993642
Volume :
7
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.4e2fd41e36e4a6aaa3c760f17e0c713
Document Type :
article
Full Text :
https://doi.org/10.1038/s42003-024-06382-4