Mash-based analyses of E. coli genomes reveal 14 distinct phylogroups
<p>To replicate this study the scripts should be ran in the following order. It is expected that you download and unzip the Data.zip file and replace the variable `input_root_folder` in all scripts with the complete file path of the folder where the unzipped Data folder is. </p> <p>Step 1: Run dataset_creation_filtering_and_stat_filtering.py</p> <p>Step 2: Run heatmaps_meoids_newick_pcoa.R (Produces Figure 1 and Figure 3b)</p> <p>Step 3: Run dataset_analysis.py</p> <p>Step 4: Run SRA_heatmap_plots.py (Produces Figure 2c)</p> <p>Step 5: Run Figure_3a.R (Produces Figure 3a)</p> <p>Step 6: Run pangenome_plot_MS.py (Produces Figure 3c)</p> <p> </p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4