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Mandatory

Name of the tool: pyCrossTalkeR

Short description: pyCrossTalkeR is a framework for network analysis and visualisation of LR networks. pyCrossTalkeR identifies relevant ligands, receptors and cell types contributing to changes in cell communication when contrasting two biological states: disease vs. homeostasis. A case study on scRNA-seq of human myeloproliferative neoplasms reinforces the strengths of pyCrossTalkeR for characterisation of changes in cellular crosstalk in disease state.

How does the package use scverse data structures (please describe in a few sentences): The package uses AnnData data structure to read and store the analysis results.

  • The code is publicly available under an OSI-approved license
  • The package provides versioned releases
  • The package can be installed from a standard registry (e.g. PyPI, conda-forge, bioconda)
  • Automated tests cover essential functions of the package and a reasonable range of inputs and conditions [^1]
  • Continuous integration (CI) automatically executes these tests on each push or pull request [^2]
  • The package provides API documentation via a website or README[^3]
  • The package uses scverse datastructures where appropriate (i.e. AnnData, MuData or SpatialData and their modality-specific extensions)
  • I am an author or maintainer of the tool and agree on listing the package on the scverse website

Recommended

  • Please announce this package on scverse communication channels (zulip, discourse, twitter)

  • Please tag the author(s) these announcements. Handles (e.g. @scverse_team) to include are:

    • Zulip:
    • Discourse:
    • Mastodon:
    • Bluesky:
    • Twitter:
  • The package provides tutorials (or "vignettes") that help getting users started quickly

  • The package uses the scverse cookiecutter template.

Maintainers

https://github.com/jsnagai - James Nagai
https://github.com/vckraemer - Venessa Klocker
https://github.com/CostaLab

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