A family-based probabilistic method for capturing de novo mutations from high-throughput short-read sequencing data

DOI10.2202/1544-6115.1713zbMath1296.92145OpenAlexW2038019245WikidataQ34231520 ScholiaQ34231520MaRDI QIDQ458820

Reed A. Cartwright, Julie Hussin, Jonathan E. M. Keebler, Eric A. Stone, Philip Awadalla

Publication date: 8 October 2014

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1885/153144

zbMATH Keywords

pedigreemutation rates\textit{de novo} mutationsshort-read datatrio model

Mathematics Subject Classification ID

General biostatistics (92B15) Genetics and epigenetics (92D10)

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