RNA-Seq workflow: gene-level exploratory analysis and differential expression [version 2; referees: 2 approved]

Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were aligned to the reference genome, and prepare a count matrix which tallies the number of RNA-seq reads/fragments within each gene...

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Bibliographic Details
Main Authors: Michael I. Love, Simon Anders, Vladislav Kim, Wolfgang Huber
Format: Article
Language:English
Published: F1000 Research Ltd 2016-11-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/4-1070/v2