Loading...
Please wait, while we are loading the content...
BioC 2014 : RNA-Seq workflow for differential gene expression
| Content Provider | Semantic Scholar |
|---|---|
| Author | Love, Michael I. Anders, Simon Huber, Wolfgang |
| Copyright Year | 2014 |
| Abstract | This lab will walk you through an end-to-end RNA-Seq differential expression workflow. We will start from the FASTQ files, align to the reference genome, prepare gene expression values as a count table by counting the sequenced fragments, perform differential gene expression analysis, and visually explore the results. This lab covers the basic introduction. For a more in-depth explanation of the advanced details, we advise you to proceed to the vignette of the DESeq2 , Differential analysis of count data – the DESeq2 package. For a treatment of exon-level differential expression, we refer to the vignette of the DEXSeq package, Analyzing RNA-seq data for differential exon usage with the DEXSeq package. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://bioconductor.org/help/course-materials/2014/BioC2014/RNA-Seq-Analysis-Lab.pdf |
| Alternate Webpage(s) | http://www.bioconductor.org/help/course-materials/2014/BioC2014/RNA-Seq-Analysis-Lab.pdf |
| Alternate Webpage(s) | https://www.bioconductor.org/help/course-materials/2014/BioC2014/RNA-Seq-Analysis-Lab.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
