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Published December 16, 2019 | Version v2
Dataset Open

Supplementary data and scripts for "An Atlas of Human Metabolism"

  • 1. Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, Gothenburg, Sweden
  • 2. Department of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, Kemivägen 10, Gothenburg, Sweden
  • 3. Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
  • 4. Department of Protein Science, Science for Life Laboratory, KTH–Royal Institute of Technology, Stockholm, Sweden
  • 5. Novo Nordisk Research Centre Oxford, Oxford, UK

Description

This repository contains the models, data, and scripts associated with the publication "An Atlas of Human Metabolism".

The content is divided into two main directories, each containing their own README file containing instructions.

  1. tINIT_GEMs - Contains the genome-scale metabolic models (GEMs) generated in the study using the tINIT algorithm, as well as many scripts and datasets necessary to reproduce model generation, analyses, and figures.
  2. ec_GEMs - Contains the enzyme-constrained models (ecGEMs) generated in the study using the GECKO framework, as well as many scripts and datasets necessary to reproduce model generation, analyses, and figures.
  3. GEM_PRO - Contains the GEM-PRO dataframe with the protein structure information associated with the Human1 model.

Files

Human1_Publication_Data_Scripts.zip

Files (1.6 GB)

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Additional details

Funding

Deciphering the coupled roles of protein secretion and metabolism in cancer using an integrative omics approach 5F32CA220848-02
National Institutes of Health