Abstract
Identifying functionally relevant variants against the background of ubiquitous genetic variation is a major challenge in human genetics. For variants in protein-coding regions, our understanding of the genetic code and splicing allows us to identify likely candidates, but interpreting variants outside genic regions is more difficult. Here we present genome-wide annotation of variants (GWAVA), a tool that supports prioritization of noncoding variants by integrating various genomic and epigenomic annotations.
Originalsprache | Englisch |
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Seiten (von - bis) | 294-296 |
Seitenumfang | 3 |
Fachzeitschrift | Nature Methods |
Jahrgang | 11 |
Ausgabenummer | 3 |
DOIs | |
Publikationsstatus | Veröffentlicht - März 2014 |
Extern publiziert | Ja |