SHADES simulated dataset

This dataset contains simulated genomic data in ms format, generated to evaluate SHADES framework classifying evolutionary signatures across various demographic conditions and confounding factors. To extract deliverables_data.tar.gz, run the following code on your terminal: tar -xvzf deliverables_data.tar.gz Once extracted, this will be the folder structure: deliverable_data/├── ceu_1e8/│ ├── AI/ (contains 6000 simulated ms files)│ ├── BalSel/ (contains 6000 simulated ms files)│ ├── Neut/ (contains 6000 simulated ms files)│ └── Sweeps/ (contains 6000 simulated ms files)├── migration_data/│ ├── AI/ (contains 6000 simulated ms files)│ ├── BalSel/ (contains 6000 simulated ms files)│ ├── Neut/ (contains 6000 simulated ms files)│ └── Sweeps/ (contains 6000 simulated ms files)├── r_ceu_high_rec/│ ├── AI/ (contains 1000 simulated ms files)│ ├── BalSel/ (contains 1000 simulated ms files)│ ├── Neut/ (contains 1000 simulated ms files)│ └── Sweeps/ (contains 1000 simulated ms files)├── r_ceu_low_rec/│ ├── AI/ (contains 1000 simulated ms files)│ ├── BalSel/ (contains 1000 simulated ms files)│ ├── Neut/ (contains 1000 simulated ms files)│ └── Sweeps/ (contains 1000 simulated ms files)├── r_ceu_var_mut/│ ├── AI/ (contains 1000 simulated ms files)│ ├── BalSel/ (contains 1000 simulated ms files)│ ├── Neut/ (contains 1000 simulated ms files)│ └── Sweeps/ (contains 1000 simulated ms files)├── r_ceu_miss_seg/│ ├── AI/ (contains 1000 simulated ms files)│ ├── BalSel/ (contains 1000 simulated ms files)│ ├── Neut/ (contains 1000 simulated ms files)│ └── Sweeps/ (contains 1000 simulated ms files)├── r_ceu_unphased/│ ├── AI/ (contains 6000 simulated ms files)│ ├── BalSel/ (contains 6000 simulated ms files)│ ├── Neut/ (contains 6000 simulated ms files)│ └── Sweeps/ (contains 6000 simulated ms files)├── r_ceu_background_sel/│ └── BgSel/ (contains 1000 simulated ms files) Folder Naming Abbreviations:r_ prefix : Indicates datasets used for resilience or robustness testingAI : Adaptive IntrogressionBalSel : Balancing SelectionNeut : NeutralitySweeps : Selective SweepsBgSel : Background Selection