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geckopy

imported

software/geckopy

Enzyme-constrained genome-scale models in python

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
ginkgobioworks
Country
unknown
Documentation
unknown
Tags
data-integration · enzyme-constraints · kinetics · omics · proteomics · systems-biology · thermodynamics
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • GECKOdata-integration · enzyme-constraints · kinetics · proteomics · systems-biology

    Toolbox for including enzyme constraints on a genome-scale model.

  • SolMod.jlthermodynamics

    SolMod is a package used for the prediction of solubility focused on creating ternary phase diagrams for pharmaceutical solubility of enantiopure drugs.

  • OmicsIntegrator2omics · proteomics

    Prize-Collecting Steiner Forests for Interactomes

  • rustimsomics · proteomics

    A Framework for IMS-MS Raw Data Processing written in Rust and Python.

  • ursgalomics · proteomics

    Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis

  • cosmosRdata-integration · proteomics

    COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.

sources
  1. api.github.com/repos/ginkgobioworks/geckopy
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-10-25, 38 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/59.json→ .entries["geckopy"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.