recipe pypints

Peak Identifier for Nascent Transcripts Starts (PINTS)

Homepage:

https://pints.yulab.org

Developer docs:

https://github.com/hyulab/PINTS

License:

GPL3 / GPL-3.0-only

Recipe:

/pypints/meta.yaml

Links:

doi: 10.1038/s41587-022-01211-7

package pypints

(downloads) docker_pypints

Versions:
1.2.1-01.2.0-01.1.15-01.1.14-01.1.13-01.1.10-01.1.9-01.1.8-01.1.7-0

1.2.1-01.2.0-01.1.15-01.1.14-01.1.13-01.1.10-01.1.9-01.1.8-01.1.7-01.1.6-11.1.6-01.1.4-01.1.3-01.1.0-0

Depends:
  • on bedtools

  • on biopython

  • on matplotlib-base

  • on numpy

  • on pandas

  • on pybedtools

  • on pybigwig

  • on pysam

  • on python

  • on requests

  • on samtools

  • on scipy

  • on statsmodels

  • on tabix

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 pypints

to add into an existing workspace instead, run:

pixi add pypints

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 pypints

Alternatively, to install into a new environment, run:

conda create -n envname pypints

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/pypints:<tag>

(see pypints/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.

Notes

The tool provides a set of executable files: `pints_caller` (for peak calling, the main program), `pints_visualizer` (for generating bigwig files from bam files), `pints_normalizer` (for normalizing bigwig files by spikein counts), and `pints_boundary_extender`.

Download stats