Brief guide to RNA sequencing analysis for nonexperts in bioinformatics.
Mol Cells
; 47(5): 100060, 2024 May.
Article
in En
| MEDLINE
| ID: mdl-38614390
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Sequence Analysis, RNA
/
Computational Biology
Limits:
Humans
Language:
En
Journal:
Mol Cells
Journal subject:
BIOLOGIA MOLECULAR
Year:
2024
Type:
Article
Affiliation country:
South Korea