Work

Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis

Year: 2014

Type: review

Abstract: RNA-seq is a methodology for RNA profiling based on next-generation sequencing that enables to measure and compare gene expression patterns at unprecedented resolution. Although the appealing features of this technique have promoted its application to a wide panel of transcriptomics studies, the fast-evolving nature of experimental protocols and computational tools challenges the definition of a unified RNA-seq analysis pipeline. In this review, focused on the study of differential gene expression with RNA-seq, we go through the main steps of data processing and discuss open challenges and possible solutions.

Source: Briefings in Functional Genomics

DOI: 10.1093/bfgp/elu035

Authors: F. Finotello, B. Di Camillo

Institution: University of Padua

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: Fondazione Cassa di Risparmio di Padova e Rovigo

OpenAlex ID: W2152060958