F1000Research*, 4:1521, December 2015. doi: 10.12688/f1000research.7563.1
Imports transcript-level abundance, estimated counts and
transcript lengths, and summarizes into matrices for use with downstream
statistical analysis packages such as edgeR, DESeq2, limma-voom.
Average transcript length, weighted by
sample-specific transcript abundance estimates, is provided as a matrix
which can be used as an offset for different expression of
gene-level counts.
tximport as of version 1.3.9 will import inferential replicates
(Gibbs samples or bootstrap samples) from Salmon, Sailfish or kallisto.
Though we provide here functionality for performing gene-level
differential expression using summarized transcript-level estimates,
this is does not mean we suggest that users only perform gene-level
analysis. Gene-level differential expression can be complemented
with transcript- or exon-level analysis. The argument txOut=TRUE
can be used to generate transcript-level matrices.
tximport
Import and summarize transcript-level estimates for transcript- and gene-level analysis
Description of methods and analysis described in:
Imports transcript-level abundance, estimated counts and transcript lengths, and summarizes into matrices for use with downstream statistical analysis packages such as edgeR, DESeq2, limma-voom. Average transcript length, weighted by sample-specific transcript abundance estimates, is provided as a matrix which can be used as an offset for different expression of gene-level counts.
See examples in the vignette.
Notes:
txOut=TRUEcan be used to generate transcript-level matrices.