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@baryshnikova-lab

Baryshnikova Lab

Genetics, Genomics & Epidemiology

The Baryshnikova Lab develops and applies computational methods to extract biological insights from extensive genomic datasets. We are particularly interested in the complex interplay between genotypes and phenotypes in both model organisms an humans. We prioritize generating mechanistic hypotheses over statistical associations and actively collaborate to experimentally validate our findings.

Beyond the repositories hosted here, we also manage the Yeast Phenome Project.

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  1. safe-data safe-data Public

    Contains the sample input and output files for SAFE demos and tutorials

    2 2

  2. safepy safepy Public

    Python implementation of Spatial Analysis of Functional Enrichment (SAFE)

    Python 41 25

Repositories

Showing 5 of 5 repositories
  • safepy Public

    Python implementation of Spatial Analysis of Functional Enrichment (SAFE)

    baryshnikova-lab/safepy’s past year of commit activity
    Python 41 GPL-3.0 25 3 2 Updated Apr 12, 2025
  • .github Public
    baryshnikova-lab/.github’s past year of commit activity
    0 0 0 0 Updated Apr 1, 2025
  • baryshnikova-lab/baryshnikova-lab.github.io’s past year of commit activity
    HTML 0 0 0 0 Updated Feb 14, 2025
  • platometer Public

    Python package to quantify colony sizes in arrayed microbial growth experiments

    baryshnikova-lab/platometer’s past year of commit activity
    Python 1 GPL-3.0 0 0 2 Updated Sep 29, 2023
  • safe-data Public

    Contains the sample input and output files for SAFE demos and tutorials

    baryshnikova-lab/safe-data’s past year of commit activity
    2 2 0 0 Updated Feb 28, 2023

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