Systematic comparison and assessment of RNA-seq procedures for gene expression quantitative analysis.

ABSTRACT: RNA-seq is currently considered the most powerful, robust and adaptable technique for measuring gene expression and transcription activation at genome-wide level. As the analysis of RNA-seq data is complex, it has prompted a large amount of research on algorithms and methods. This has resulted in a substantial increase in the number of options available at each step of the analysis. Consequently, there is no clear consensus about the most appropriate algorithms and pipelines that should be used to analyse RNA-seq data. In the present study, 192 pipelines using alternative methods were applied to 18 samples from two human cell lines and the performance of the results was evaluated. Raw gene expression signal was quantified by non-parametric statistics to measure precision and accuracy. Diff

SUBMITTER: Corchete LA 

PROVIDER: S-EPMC7665074 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature