Published December 4, 2020
| Version 2020-12-04
Dataset
Open
A comprehensive evaluation of binning methods to recover human gut microbial species from a non-redundant reference gene catalog - Supporting Data
Authors/Creators
- 1. MaaT Pharma; Université de Lyon, Laboratoire de Biométrie et Biologie Évolutive UMR 5558; Erable Team, INRIA Grenoble Rhône-Alpes
- 2. MaaT Pharma
- 3. Université de Lyon, Laboratoire de Biométrie et Biologie Évolutive UMR 5558; INSA-Lyon, INRA, BF2i
- 4. INESC-ID, Instituto Superior Técnico; Universidade de Lisboa
- 5. MaaT Pharma; EVOTEC ID (Lyon)
- 6. Erable Team, INRIA Grenoble Rhône-Alpes; Université de Lyon, Laboratoire de Biométrie et Biologie Évolutive UMR 5558
Description
Description
The following files are available :
- Simulated non-redundant Gene Catalog (SGC) composed of 128267 genes;
- Gene abundance profiles across 40 samples: raw read counts, gene length normalized base counts, depth file computed by the jgi_summarize_bam_contig_depth script provided by MetaBAT;
- Gold Standard (GS) and Gold Standard Single Assignment (GS_SA) binning results;
- Binning results obtained on the SGC with nine binning methods: MSPminer, MGS-canopy, DAS Tool, MaxBin2, MetaBAT2, SolidBin, CONCOCT, COCACOLA and MyCC.
License
These files are licensed under a Creative Commons Attribution 4.0 International License.
Files
Files
(374.2 MB)
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