recipe somaticseq

An ensemble approach to accurately detect somatic mutations.

Homepage:

https://bioinform.github.io/somaticseq

Developer docs:

https://github.com/bioinform/somaticseq

License:

BSD / BSD-2-Clause

Recipe:

/somaticseq/meta.yaml

SomaticSeq is an ensemble caller that has the ability to use machine learning to filter out false positives. The detailed documentation is included in the package, located in docs/Manual.pdf. A quick guide can also be found here. SomaticSeq's open-access paper: Fang LT, Afshar PT, Chhibber A, et al. An ensemble approach to accurately detect somatic mutations using SomaticSeq. Genome Biol. 2015;16:197.

package somaticseq

(downloads) docker_somaticseq

Versions:
3.11.1-03.11.0-03.10.0-03.9.1-03.8.0-03.7.4-03.7.3-03.7.2-03.7.1-0

3.11.1-03.11.0-03.10.0-03.9.1-03.8.0-03.7.4-03.7.3-03.7.2-03.7.1-03.7.0-03.6.2-03.6.0-03.5.1-03.5.0-03.4.2-03.4.1-03.4.0-03.3.0-03.2.1-02.8.1-0

Depends:
  • on gatk4

  • on lofreq

  • on muse

  • on numpy

  • on pandas

  • on pybedtools

  • on pydantic

  • on pysam

  • on python >=3.11

  • on r-ada

  • on r-base

  • on scalpel

  • on scipy

  • on vardict

  • on varscan >=2

  • on xgboost >=1.4

Additional platforms:

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install somaticseq

to add into an existing workspace instead, run:

pixi add somaticseq

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install somaticseq

Alternatively, to install into a new environment, run:

conda create -n envname somaticseq

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see somaticseq/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats