The Bioinformatic Applications of Hi-C and Linked Reads.

Autor:	Jiang L; School of Life Sciences and Medicine, Shandong University of Technology, Zibo 255049, China., Quail MA; The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK., Fraser-Govi J; The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK., Wang H; School of Life Sciences and Medicine, Shandong University of Technology, Zibo 255049, China., Shi X; College of Food Science and Technology, Hainan University, Haikou 570228, China., Oliver K; The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK., Mellado Gomez E; The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK., Yang F; School of Life Sciences and Medicine, Shandong University of Technology, Zibo 255049, China., Ning Z; The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Jazyk:	angličtina
Zdroj:	Genomics, proteomics & bioinformatics [Genomics Proteomics Bioinformatics] 2024 Jun 21. Date of Electronic Publication: 2024 Jun 21.
DOI:	10.1093/gpbjnl/qzae048
Abstrakt:	Long-range sequencing grants insight into additional genetic information beyond that which can be accessed by both short reads and modern long-read technology. Several new sequencing technologies are available for long-range datasets such as "Hi-C" and "Linked Reads" with high-throughput and high-resolution genome analysis, and are rapidly advancing the field of genome assembly, genome scaffolding, and more comprehensive variant identification. In this article, we focused on five major long-range sequencing technologies: high-throughput chromosome conformation capture (Hi-C), 10x Genomics Linked Reads, haplotagging, transposase enzyme linked long-read sequencing (TELL-seq), and single tube long fragment read (stLFR). We detailed the mechanisms and data products of the five platforms, introduced several of the most important applications, evaluated the quality of sequencing data from different platforms, and discussed the currently available bioinformatics tools. We hope this work will benefit the selection of appropriate long-range technology for specific biological studies. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation and Genetics Society of China.)
Databáze:	MEDLINE
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