Brief guide to RNA sequencing analysis for nonexperts in bioinformatics

被引：7
|
作者：
Lee, Gee-Yoon [1 ]
Ham, Seokjin [1 ]
Lee, Seung-Jae V. [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Dept Biol Sci, Daejeon 34141, South Korea
来源：
MOLECULES AND CELLS | 2024年 / 47卷 / 05期
关键词：
Bioinformatics; Differential expression of genes; RNA-seq; Transcriptome; EXPRESSION ANALYSIS; SEQ DATA; GENE; QUANTIFICATION; ALIGNMENT; PACKAGE;
D O I：
10.1016/j.mocell.2024.100060
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Transcriptome analysis is widely used for current biological research but remains challenging for many experimental scientists. Here, we present a brief but broad guideline for transcriptome analysis, focusing on RNA sequencing, by providing the list of publicly available datasets, tools, and R packages for practical transcriptome analysis. This work will be useful for biologists to perform key transcriptomic analysis with minimum expertise in bioinformatics. (c) 2024 The Author(s). Published by Elsevier Inc. on behalf of Korean Society for Molecular and Cellular Biology. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数：6
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