Zenodo.json

{
  "upload_type": "Package",
  "title": "NCMW: A Python Package to Analyze Metabolic Interactions in the Nasal Microbiome",
  "creators": [
    {
      "orcid": "0000-0002-0248-6679",
      "affiliation": "Eberhard Karls University of Tübingen, Institute for Bioinformatics and Medical Informatics, Tübingen",
    }
  ],
  "description": "<p><code>pymCADRE</code> is an advanced re-implementation of the metabolic Context-specificity Assessed by Deterministic Reaction Evaluation (mCADRE) algorithm in Python. It constructs tissue-specific metabolic models by leveraging gene expression data and literature-based evidence, along with network topology information.",
  "access_right": "open",
  "license": "MIT Licence",
  "keywords": [
    "python",
    "constraint-based modeling",
    "genome-scale modeling",
    "nasal Microbial community",
    "flux balance analysis",
    "sbml model",
    "Staphylococcus aureus"
  ],
  "contributors": [],
  "communities": [],
  "grants": []
}