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Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals

Overview of attention for article published in BMC Proceedings, October 2016
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Title
Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals
Published in
BMC Proceedings, October 2016
DOI 10.1186/s12919-016-0007-z
Pubmed ID
Authors

Corinne D. Engelman, Celia M. T. Greenwood, Julia N. Bailey, Rita M. Cantor, Jack W. Kent, Inke R. König, Justo Lorenzo Bermejo, Phillip E. Melton, Stephanie A. Santorico, Arne Schillert, Ellen M. Wijsman, Jean W. MacCluer, Laura Almasy

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 25%
Researcher 3 25%
Student > Master 2 17%
Student > Ph. D. Student 1 8%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Other 3 25%
Unknown 2 17%