recipe r-shazam

Provides a computational framework for analyzing mutations in immunoglobulin (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven selection pressure, mutational load quantification, building of somatic hypermutation (SHM) models, and model-dependent distance calculations. Also includes empirically derived models of SHM for both mice and humans. Citations: Gupta and Vander Heiden, et al (2015) <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012) <doi:10.1093/nar/gks457>, Yaari, et al (2013) <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016) <doi:10.4049/jimmunol.1502263>.

Homepage:

http://shazam.readthedocs.io

License:

AGPL / AGPL-3

Recipe:

/r-shazam/meta.yaml

package r-shazam

(downloads) docker_r-shazam

Versions:
1.1.0-00.2.3-10.2.3-00.2.2-00.2.1-10.2.1-00.1.11-00.1.10-10.1.10-0

1.1.0-00.2.3-10.2.3-00.2.2-00.2.1-10.2.1-00.1.11-00.1.10-10.1.10-00.1.9-2

Depends:
Required By:

Installation

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

conda install r-shazam

and update with:

conda update r-shazam

or use the docker container:

docker pull quay.io/biocontainers/r-shazam:<tag>

(see r-shazam/tags for valid values for <tag>)

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