Brief guide to RNA sequencing analysis for nonexperts in bioinformatics

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Transcriptome analysis is crucial for biological research.
• Experimental scientists often face challenges in performing transcriptome analysis.
• RNA sequencing (RNA-Seq) is a primary method for transcriptome analysis.

Discussion:

• This work provides a practical guideline for transcriptome analysis.
• It focuses on RNA sequencing (RNA-Seq) methods.
• The guideline includes a curated list of publicly available datasets, bioinformatics tools, and R packages.

Key Insights:

• The guideline aims to lower the expertise barrier for biologists.
• It facilitates the performance of key transcriptomic analyses.
• Accessible bioinformatics resources are highlighted.

Outlook:

• This resource empowers biologists to conduct independent transcriptome analyses.
• It promotes wider adoption of RNA sequencing (RNA-Seq) in biological research.
• Future research can build upon these foundational guidelines for more complex analyses.