recipe bioconductor-bitseq

Transcript expression inference and differential expression analysis for RNA-seq data

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/BitSeq.html

License:

Artistic-2.0 + file LICENSE

Recipe:

/bioconductor-bitseq/meta.yaml

Links:

biotools: bitseq

The BitSeq package is targeted for transcript expression analysis and differential expression analysis of RNA-seq data in two stage process. In the first stage it uses Bayesian inference methodology to infer expression of individual transcripts from individual RNA-seq experiments. The second stage of BitSeq embraces the differential expression analysis of transcript expression. Providing expression estimates from replicates of multiple conditions, Log-Normal model of the estimates is used for inferring the condition mean transcript expression and ranking the transcripts based on the likelihood of differential expression.

package bioconductor-bitseq

(downloads) docker_bioconductor-bitseq

Versions:
1.38.0-21.38.0-11.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-01.28.0-1

1.38.0-21.38.0-11.38.0-01.36.0-01.34.0-11.34.0-01.32.0-01.30.0-01.28.0-11.26.0-01.24.0-01.22.0-01.20.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-bitseq

and update with:

conda update bioconductor-bitseq

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-bitseq:<tag>

(see bioconductor-bitseq/tags for valid values for <tag>)

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