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Data and scripts for reproducing the analyses in the SPMP project

This repository contains data and scripts used for our Singapore Platinum Metagenomes Project (SPMP) study.

Directory structure

  • envs: Conda environment used for this project
  • scripts: folder containing code used for this project (jupyter and Rmarkdown)
  • tables: Input data used

Software versions

Python - jupyter and R version 4.1.0 with tidyverse version 1.3.1

Unusual library

Most of the figure has been generated using seahorse, a custom plotting library based on seaborn.

Raw data availability

Citation

Please cite our manuscript on Nature communication.

Contact

Please direct any questions or feedback to Jean-Sebastien Gounot and Niranjan Nagarajan.

Figures to script relationship

Figure title Script file
Figure 1.A assembly_stats.ipynb
Figure 1.B left kraken_self_single_analysis.ipynb
Figure 1.B right kraken_self_single_analysis.ipynb
Figure 1.C kraken_self_single_analysis.ipynb
Figure 1.D assembly_stats.ipynb
Figure 1.E assembly_stats.ipynb
Figure 1.F gtdb_improvement.ipynb
Figure 1.G gtdb_improvement.ipynb
Figure 2.A rarefaction_inext_run.ipynb
Figure 2.B assembly_stats.ipynb
Figure 2.C strains_clustering.ipynb
Figure 2.D BGC_class_barplot.Rmd
Figure 2.E Schematic representation
Figure 2.F
S. Figure 1 reads_statistics.ipynb
S. Figure 2.A reads_statistics.ipynb
S. Figure 2.B reads_statistics.ipynb
S. Figure 3 kraken_self_single_analysis.ipynb
S. Figure 4 kraken_self_single_analysis.ipynb
S. Figure 5.A assembly_stats.ipynb
S. Figure 5.B assembly_stats.ipynb
S. Figure 6.A assembly_stats.ipynb
S. Figure 6.B assembly_stats.ipynb
S. Figure 7 bracken_self_combine.ipynb
S. Figure 8.A kraken_cre.ipynb
S. Figure 8.B strains_mapping.ipynb
S. Figure 9 Schematic representation
S. Figure 10.A assembly_stats.ipynb
S. Figure 10.B assembly_stats.ipynb
S. Figure 11.A bracken_self_combine.ipynb
S. Figure 11.B novel612.ipynb
S. Figure 12.A strains_clustering.ipynb
S. Figure 12.B strains_clustering.ipynb
S. Figure 13 BGC_class_barplot.Rmd
S. Figure 14 BGC_class_barplot.Rmd
S. Figure 15 ensemble_AMP_voting.Rmd