Skip to main content

A tool to process and analyze iTP-Seq datasets

Project description

itpseq: A Python module and command-line tool for the analysis of iTP-Seq data.

PyPI Version License Tests Code Coverage Downloads

The latest documentation is available at itpseq.readthedocs.io.

Dependencies

itpseq runs on Python 3.9+ on Linux, MacOS, and Windows.

Installation requires regex, numpy, pandas, matplotlib, seaborn, pydeseq2, logomaker, Jinja2, weasyprint, ipython, click, and ipywidgets. The dependencies are installed automatically when installing from pip.

Installation

The latest stable release (and required dependencies) can be installed from PyPI:

pip install itpseq

To update the package to the latest version, run:

pip install -U itpseq

After installation, if Python and pip are configured correctly, the "itpseq" command should be available in the terminal. If not, one should ensure the location of the executable is in the PATH.

Citing

Known issues

On MacOS and Windows, the "weasyprint" library that is used to produce the PDF version of the report seems to have an issue and exporting a PDF report is currently not possible. It is nevertheless possible to produce an HTML report by running:

itpseq report -o report.html data_directory 

in place of:

itpseq report data_directory 

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

itpseq-0.0.1a15.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

itpseq-0.0.1a15-py3-none-any.whl (1.9 MB view details)

Uploaded Python 3

File details

Details for the file itpseq-0.0.1a15.tar.gz.

File metadata

  • Download URL: itpseq-0.0.1a15.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for itpseq-0.0.1a15.tar.gz
Algorithm Hash digest
SHA256 5110c8370652f4deefcb2a8415777db812f5bd917b1b9bcbdfd460b06e8d0b0f
MD5 1f3e61f5bfdfd66ffc04ba8e2c75414e
BLAKE2b-256 9d2ae7d520f78939d6593cd533378b141201df2e3d3f9e94c3f87a5bdd7c45df

See more details on using hashes here.

Provenance

The following attestation bundles were made for itpseq-0.0.1a15.tar.gz:

Publisher: publish-to-pypi.yml on t-renault/itpseq

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file itpseq-0.0.1a15-py3-none-any.whl.

File metadata

  • Download URL: itpseq-0.0.1a15-py3-none-any.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for itpseq-0.0.1a15-py3-none-any.whl
Algorithm Hash digest
SHA256 f7fdab508bd9e05208d3d9794bc58345c131f0ce2ee6a7ea8e1dd704a4f03044
MD5 82dbebc237e801d3a977d556c51a30c1
BLAKE2b-256 ea0459a927ff6adea4a490207895655d44bc4a3448adf19e1f5280991f0e1bb9

See more details on using hashes here.

Provenance

The following attestation bundles were made for itpseq-0.0.1a15-py3-none-any.whl:

Publisher: publish-to-pypi.yml on t-renault/itpseq

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page