Package Recipe 'tobias'

recipe tobias

Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal.

Homepage:: https://github.com/loosolab/TOBIAS
Documentation:: https://github.com/loosolab/TOBIAS/wiki
License:: MIT / MIT
Recipe:: /tobias/meta.yaml
Links:: biotools: TOBIAS, doi: 10.1038/s41467-020-18035-1

TOBIAS (Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal) is a collection of command-line bioinformatics tools for performing footprinting analysis on ATAC-seq data.

package tobias¶

Versions:

0.17.3-1, 0.17.3-0, 0.17.2-0, 0.17.1-1, 0.17.1-0, 0.17.0-1, 0.17.0-0, 0.16.1-1, 0.16.1-0,

0.17.3-1, 0.17.3-0, 0.17.2-0, 0.17.1-1, 0.17.1-0, 0.17.0-1, 0.17.0-0, 0.16.1-1, 0.16.1-0, 0.16.0-0, 0.15.1-0, 0.13.3-1, 0.13.3-0, 0.13.2-1, 0.13.2-0, 0.13.1-0, 0.13.0-0, 0.12.12-0, 0.12.11-0, 0.12.10-1, 0.12.10-0, 0.12.9-0, 0.12.8-0, 0.12.7-0, 0.12.6-0, 0.12.4-0, 0.12.3-0, 0.12.1-0, 0.12.0-0, 0.11.6-1, 0.11.6-0, 0.11.4-0, 0.11.3-0, 0.11.2-0, 0.11.1-0, 0.11.0-0, 0.9.0-0, 0.8.0-0, 0.7.0-0, 0.6.4-0, 0.6.1-0, 0.5.0-0

Depends:

on adjusttext
on boto3
on importlib-metadata
on kneed
on libgcc >=13
on logomaker
on matplotlib-base >=2
on moods
on numpy >=1.21,<3
on numpy >=2.2.6,<3.0a0
on pandas
on pybedtools
on pybigwig >=0.3
on pypdf2
on pysam
on python >=3.10,<3.11.0a0
on python_abi 3.10.* *_cp310
on pyyaml >5.1
on scikit-learn
on scipy
on seaborn-base >=0.9.1
on svist4get >=1.2.24
on xgboost >=0.71
on xlsxwriter

Additional platforms:

linux-aarch64, osx-arm64

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 tobias

to add into an existing workspace instead, run:

pixi add tobias

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 tobias

Alternatively, to install into a new environment, run:

conda create -n envname tobias

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/tobias:<tag>

(see tobias/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¶

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/tobias/README.html)