Description
MEANtools is a computational pipeline that integrates multi-omics data to identify metabolites and predict biosynthetic pathways
https://www.biorxiv.org/content/10.1101/2024.12.22.629970v1
This repository contains data for the meantools repository https://github.com/kumarsaurabh20/meantools
Data:
1. Lotus database in SQLite format
2. RetroRules formatted data (loose, medium, and strict datasets)
3. EC-pfam IDs map
4. RNA-seq expression matrix (normalized) from Jeon et al. 2020
5. Jeon_bacterial.sqlite (output of gene-metabolite correlations, calculated edge-scores and functional clusters for Bacterial samples)
6. Jeon_Fungal.sqlite (output of gene-metabolite correlations, calculated edge-scores and functional clusters for Fungal samples)
https://www.biorxiv.org/content/10.1101/2024.12.22.629970v1
This repository contains data for the meantools repository https://github.com/kumarsaurabh20/meantools
Data:
1. Lotus database in SQLite format
2. RetroRules formatted data (loose, medium, and strict datasets)
3. EC-pfam IDs map
4. RNA-seq expression matrix (normalized) from Jeon et al. 2020
5. Jeon_bacterial.sqlite (output of gene-metabolite correlations, calculated edge-scores and functional clusters for Bacterial samples)
6. Jeon_Fungal.sqlite (output of gene-metabolite correlations, calculated edge-scores and functional clusters for Fungal samples)
| Date made available | 15 Jun 2025 |
|---|---|
| Publisher | Wageningen University & Research |
Research output
- 1 Preprint
-
MEANtools: multi-omics integration towards metabolite anticipation and biosynthetic pathway prediction
Singh, K. S., Suarez Duran, H., Del Pup, E., Zafra-Delgado, O., Van Wees, S. C. M., van der Hooft, J. & Medema, M. H., 23 Dec 2024, BioRxiv.Research output: Working paper › Preprint
Open Access
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