A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict expression from total and allele-specific gene expres...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/851a2e4e25024f928fc9e3810b60b5e9 |
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| Résumé: | Methods for eQTL mapping from total and allele-specific gene expression typically are too computationally heavy to apply to large scale studies. Here, the authors describe a computationally efficient method to identify eQTLs, fine-map and predict expression from total and allele-specific gene expression |
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