Brief guide to RNA sequencing analysis for nonexperts in bioinformatics
Gee‐Yoon Lee, Seokjin Ham, Seung‐Jae Lee
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.
Topics & Concepts
TranscriptomeComputational biologyRNA-SeqComputer scienceDe novo transcriptome assemblyBioinformaticsData scienceBiologyGeneGeneticsGene expressionRNA Research and SplicingRNA modifications and cancerRNA and protein synthesis mechanisms