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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 &quot;Fine-scale subpopulation detection via SNP-based unsupervised method:<br> A case study on the 1000 Genomes Project Resources&quot;.<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.&nbsp;Reference:&nbsp;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

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