Fine-scale subpopulation detection via SNP-based unsupervised method: A case study on the 1000 Genomes Project Resources
<p>Here are the supplementary files to the paper "Fine-scale subpopulation detection via SNP-based unsupervised method:<br> A case study on the 1000 Genomes Project Resources".<br> <br> The repository is organized as:</p> <ol> <li><strong>Supplementary information</strong>: the additional detailed information for the experiments in the paper <ul> <li>Supplementary_information_IPCAPS_Chaichoompu_v1.pdf</li> </ul> </li> <li><strong>Real-life dataset</strong>: the 1000 genome dataset, which is referred to in the paper and is filtered with the parameters explained in the paper. Reference: https://www.internationalgenome.org/ <ul> <li>1000genomes_with_filtering.zip</li> </ul> </li> </ol>
ShareScore
36/100
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
- 8
- Engagement
- 0