A comprehensive workflow for optimizing RNA-seq data analysis.

ABSTRACT:

Background

Current RNA-seq analysis software for RNA-seq data tends to use similar parameters across different species without considering species-specific differences. However, the suitability and accuracy of these tools may vary when analyzing data from different species, such as humans, animals, plants, fungi, and bacteria. For most laboratory researchers lacking a background in information science, determining how to construct an analysis workflow that meets their specific needs from the array of complex analytical tools available poses a significant challenge.

Results

By utilizing RNA-seq data from plants, animals, and fungi, it was observed that different analytical tools demonstrate some variations in performance when applied to different species. A comprehensive expe

SUBMITTER: Jiang G 

PROVIDER: S-EPMC11197194 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature