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

• DOI: 10.1038/s41598-020-76881-x
• Publication Date: 2020-11-12T11:02:41Z
• Authors: Luis A. Corchete; Elizabeta A. Rojas; Diego Alonso-López; Javier De Las Rivas; Norma C. Gutiérrez; Francisco J. Burg...
• Keywords: RNA-Seq; Expression (computer science)

Abstract RNA-seq is currently considered the most powerful, robust and adaptable technique for measuring gene expression transcription activation at genome-wide level. As analysis of data complex, it has prompted a large amount research on algorithms methods. This resulted in substantial increase number options available each step analysis. Consequently, there no clear consensus about appropriate pipelines that should be used to analyse data. In present study, 192 using alternative methods were applied 18 samples from two human cell lines performance results was evaluated. Raw signal quantified by non-parametric statistics measure precision accuracy. Differential estimated testing 17 differential The procedures validated qRT-PCR same samples. study weighs up advantages disadvantages tested providing comprehensive guide different data, both quantification raw expression.