recipe htseq

HTSeq is a Python library to facilitate processing and analysis of data from high-throughput sequencing (HTS) experiments.

Homepage:

https://github.com/htseq/htseq

License:

GPL / GPL-3.0-only

Recipe:

/htseq/meta.yaml

Links:

biotools: htseq, usegalaxy-eu: htseq_count, doi: 10.1093/bioinformatics/btu638

package htseq

Versions:

2.0.3-1,  2.0.3-0,  2.0.2-1,  2.0.2-0,  2.0.1-0,  1.99.2-2,  1.99.2-1,  1.99.2-0,  0.13.5-1, 

2.0.3-1,  2.0.3-0,  2.0.2-1,  2.0.2-0,  2.0.1-0,  1.99.2-2,  1.99.2-1,  1.99.2-0,  0.13.5-1,  0.13.5-0,  0.12.4-2,  0.12.4-1,  0.12.4-0,  0.12.3-0,  0.11.3-0,  0.11.2-1,  0.11.2-0,  0.11.1-0,  0.11.0-1,  0.11.0-0,  0.9.1-4,  0.9.1-3,  0.9.1-2,  0.9.1-1,  0.9.1-0,  0.7.2-4,  0.7.2-3,  0.7.2-2,  0.7.2-1,  0.7.2-0,  0.6.1.post1-6,  0.6.1.post1-5,  0.6.1.post1-4,  0.6.1-5,  0.6.1-4,  0.6.1-3,  0.6.1-2,  0.6.1-1,  0.6.1-0,  0.6.1p1-1,  0.6.1p1-0

Depends:

• libgcc-ng >=12

• libstdcxx-ng >=12

• matplotlib-base >=1.4

• numpy >=1.21.6,<2.0a0

• pysam >=0.15.1

• python >=3.10,<3.11.0a0

• python_abi 3.10.* *_cp310

Required By:

• dr-disco

• riboraptor

• ribominer

• rgt

• bioconductor-dexseq

• circtools

• dcc

• biofluff

• mgkit

• tiny-count

• nanosim

• transindel

• zgtf

• htseq-clip

• ribocode

• segmentation-fold

• imfusion

• fuma

• rpf-count-cds

Installation

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

conda install htseq

and update with:

conda update htseq

or use the docker container:

docker pull quay.io/biocontainers/htseq:<tag>

(see htseq/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/htseq/README.html)