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Predicting SARS-CoV-2 exposure using T-cell repertoire sequencing and machine learning

<p>The dataset contains processed T-cell receptor repertoire sequencing data from &gt;1200 individuals of different sex and age, originally published in [1]. Note that only samples&nbsp;with good sequencing coverage are published (&gt;10^5 reads per file).&nbsp;</p> <p>TODO</p>

ShareScore

8/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
0
Reuse readiness
0
Engagement
0