Results 221 to 230 of about 536,139 (245)
Some of the next articles are maybe not open access.
RNA-Seq data analysis stands as a vital part of genomics research, turning vast and complex datasets into meaningful biological insights. It is a field marked by rapid evolution and ongoing innovation, necessitating a thorough understanding for anyone seeking to unlock the potential of RNA-Seq data.
James, Li+2 more
openaire +2 more sources
James, Li+2 more
openaire +2 more sources
RNA sequencing (RNA-Seq) has emerged as a powerful and versatile tool for the comprehensive analysis of transcriptomes and has been widely used to investigate gene expression, copy number variation, alternative splicing, and novel transcript discovery. This chapter outlines the methodology for conducting short-read RNA-Seq, starting from RNA enrichment
Rong, Hu+3 more
openaire +2 more sources
Rong, Hu+3 more
openaire +2 more sources
The devil in the details of RNA-seq
Nature Biotechnology, 2014Piero Carninci, Anton Kratz
openaire +2 more sources
Near-optimal probabilistic RNA-seq quantification
Nature Biotechnology, 2016Páll Melsted+2 more
exaly
STAR: ultrafast universal RNA-seq aligner
Bioinformatics, 2013Alexander Dobin, Thomas R Gingeras
exaly
TopHat: discovering splice junctions with RNA-Seq
Bioinformatics, 2009Lior Pachter, Steven L Salzberg
exaly