# bioconductor-xbseq¶

We developed a novel algorithm, XBSeq, where a statistical model was established based on the assumption that observed signals are the convolution of true expression signals and sequencing noises. The mapped reads in non-exonic regions are considered as sequencing noises, which follows a Poisson distribution. Given measureable observed and noise signals from RNA-seq data, true expression signals, assuming governed by the negative binomial distribution, can be delineated and thus the accurate detection of differential expressed genes.

 Home http://bioconductor.org/packages/3.6/bioc/html/XBSeq.html Versions 1.6.0, 1.8.0 License GPL (>=3) Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-xbseq

## Installation¶

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-xbseq


and update with:

conda update bioconductor-xbseq


A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-xbseq.