Abstract
Genetic Analysis Workshop 19 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence and gene expression data from a pedigree-based sample, as well as whole-exome sequence data from a large cohort of unrelated individuals. In this article we present an overview of the data sets, the GAW experience, and summaries of the contributions arranged into nine methodological themes.
| Original language | English |
|---|---|
| Article number | 19 |
| Journal | BMC Proceedings |
| Volume | 10 |
| ISSN | 1753-6561 |
| DOIs | |
| Publication status | Published - 18.10.2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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