Data, Results and tools code for MetaNetMap paper reproducibility

Dataset

DOI

MISTIC – Coralie Muller – MetaNetMap Data Repository

MetaNetMap is a Python tool designed to map metabolite information from metabolomic data onto metabolic networks.



This repository contains all the files and code required to reproduce analyses presented in the article: 
"MetaNetMap: Automatic Mapping of Metabolomic Data onto Metabolic Networks" (Muller, C. et al., 2025) BioRxiv, ensuring full reproducibility.

Information

The MetaCyc conversion table cannot be provided due to licensing restrictions.
The MetaNetX conversion table is included.

Contents

  README:

    Contains detailed descriptions of each dataset and instructions on how to reproduce the article’s results using the MetaNetX conversion table.



  Data and Results:

    Contains analysis results from applying MetaNetMap to real metabolomic studies (application examples).



  Tool (MetaNetMap.zip):

    MetaNetMap software
    Test datasets
    Jupyter notebook for running analyses

Identifier
DOI	https://doi.org/10.57745/ESFLR8
Metadata Access	https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/ESFLR8

Provenance
Creator	MULLER, Coralie ; AUDEMARD, Juliette ; PRIGENT, Sylvain ; FRIOUX, Clémence
Publisher	Recherche Data Gouv
Contributor	MULLER, Coralie; PRIGENT, Sylvain; FRIOUX, Clémence; Inria - Centre Inria de l'université de Bordeaux; Entrepôt-Catalogue Recherche Data Gouv
Publication Year	2025
Funding Reference	Conseil Régional d'Aquitaine ; French National Research Agency ANR-22-PEAE-0011
Rights	info:eu-repo/semantics/openAccess
OpenAccess	true
Contact	MULLER, Coralie (Inria (Pléiade team) and INRAE (META team)); PRIGENT, Sylvain (INRAE (META team)); FRIOUX, Clémence (Inria (Pléiade team))

Representation
Resource Type	Dataset
Format	text/xml; text/markdown; application/zip; text/tsv; text/tab-separated-values; text/comma-separated-values; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/x-log; application/pdf
Size	35211097; 7662; 884013; 791563439; 132669; 217484; 115854; 19011; 616987; 284850; 124541; 2394332; 282123; 124883; 15016; 18009; 744850; 261219; 121357; 1358376; 263078; 122661; 13512; 128212; 211020; 16727; 111319; 294116; 157912; 77105; 378002; 159410; 82413; 85157; 17352; 14028
Version	1.0
Discipline	Computer Science; Biology; Life Sciences