Approaching complete genomes, transcriptomes and epi-omes with accurate long-read sequencing

被引：34

作者：

Kovaka, Sam ^{[1
]}

Ou, Shujun ^{[1
,2
]}

Jenike, Katharine M. ^{[1
,3
]}

Schatz, Michael C. ^{[1
,3
,4
]}

机构：

[1] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA

[2] Ohio State Univ, Dept Mol Genet, Columbus, OH USA

[3] Johns Hopkins Univ, Dept Genet Med, Baltimore, MD 21218 USA

[4] Johns Hopkins Univ, Dept Biol, Baltimore, MD 21218 USA

来源：

NATURE METHODS | 2023年 / 20卷 / 01期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

D O I：

10.1038/s41592-022-01716-8

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The year 2022 will be remembered as the turning point for accurate long-read sequencing, which now establishes the gold standard for speed and accuracy at competitive costs. We discuss the key bioinformatics techniques needed to power long reads across application areas and close with our vision for long-read sequencing over the coming years.

引用

页码：12 / 16

页数：5

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