Brief guide to RNA sequencing analysis for nonexperts in bioinformatics

IF 3.7 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecules and Cells Pub Date : 2024-05-01 DOI:10.1016/j.mocell.2024.100060
Gee-Yoon Lee, Seokjin Ham, Seung-Jae V. Lee
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引用次数: 0

Abstract

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.

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为非生物信息学专家提供的 RNA 测序分析简要指南。
转录组分析被广泛应用于当前的生物学研究,但对许多实验科学家来说仍具有挑战性。在此,我们通过提供用于实际转录组分析的公开可用数据集、工具和 R 软件包列表,为以 RNA 测序为重点的转录组分析提供了一个简短而广泛的指南。这项工作将有助于生物学家以最低限度的生物信息学专业知识进行关键的转录组分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecules and Cells
Molecules and Cells 生物-生化与分子生物学
CiteScore
6.60
自引率
10.50%
发文量
83
审稿时长
2.3 months
期刊介绍: Molecules and Cells is an international on-line open-access journal devoted to the advancement and dissemination of fundamental knowledge in molecular and cellular biology. It was launched in 1990 and ISO abbreviation is ''Mol. Cells''. Reports on a broad range of topics of general interest to molecular and cell biologists are published. It is published on the last day of each month by the Korean Society for Molecular and Cellular Biology.
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