SysBioChalmers / Kluyveromyces_marxianus-GEM

The consensus GEM for Kluyveromyces marxianus
https://github.com/SysBioChalmers/Kluyveromyces_marxianus-GEM
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genome-scale-models kluyveromyces-marxianus systems-biology

Kluyveromyces_marxianus-GEM: The consensus genome-scale metabolic model of Kluyveromyces marxianus

GitHub version Join the chat at https://gitter.im/SysBioChalmers/Kluyveromyces_marxianus-GEM

This repository contains the current consensus genome-scale metabolic model of the ascomycetous yeast Kluyveromyces marxianus, named Kluyveromyces_marxianus-GEM. The model contains 4 compartments: extracellular, cytosol, mitochondrion and endoplasmic reticulum. For the latest release please click here.

GEM Category: species; Utilisation: experimental data reconstruction, multi-omics integrative analysis, in silico strain design, model template; Field: metabolic-network reconstruction; Type of Model: reconstruction, curated; Model Source: iOD907, yeast-GEM; Omic Source: genomics; Taxonomy: Kluyveromyces marxianus; Metabolic System: general metabolism; Bioreactor; Strain; Condition: aerobic, glucose-limited, defined media;

Taxonomy Template Model Reactions Metabolites Genes
Kluyveromyces marxianus iOD907 1913 1531 996

This repository is administered by Simonas Marcišauskas (@simas232), Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology.

Installation

Required Software - User:

Required Software - Contributor:

Dependencies - Recommended Software:

Installation Instructions

Usage

Make sure to load/save the model with the corresponding wrapper functions!

Model Files

The model is available in .xml, .txt, .yml, .mat and .xlsx (the last 2 extensions only in master). Additionally, the following 2 files are available:

Complementary Code

Complementary Data

Citation

Marcišauskas S, Ji B, Nielsen J (2019). Reconstruction and analysis of a Kluyveromyces marxianus genome-scale metabolic model. BMC Bioinformatics 20:551. doi:10.1186/s12859-019-3134-5

Contributing

Contributions are always welcome! Please read the contributions guideline to get started.

Contributors

More from SysBio Chalmers

For more recently published genome-scale models and systems biology related software from the Systems and Synthetic Biology group at Chalmers University of Technology, please visit the GitHub page. For more information and publications by the Systems and Synthetic Biology please visit SysBio.