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Mendeley readers
Title |
Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals
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Published in |
BMC Proceedings, October 2016
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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
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% |