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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
Citation
Engelman, CD and Greenwood, CMT and Bailey, JN and Cantor, RM and Kent Jr, JW and Konig, IK and Bermejo, JL and Melton, PE and Santorico, SA and Schillert, A and Wijsman, EM and MacCluer, JW and Almasy, L, Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals, BMC Proceedings, 10, (Suppl 7) pp. 67-70. ISSN 1753-6561 (2016) [Contribution to Refereed Journal]
 | PDF (BMC Proc . 2016 Oct 18;10(Suppl 7):67-70) Pending copyright assessment - Request a copy 243Kb |
DOI: doi:10.1186/s12919-016-0007-z
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.
Item Details
| Item Type: | Contribution to Refereed Journal |
|---|---|
| Keywords: | whole-genome sequence, biostatistics, gene expression, family studies |
| Research Division: | Biological Sciences |
| Research Group: | Genetics |
| Research Field: | Gene mapping |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the mathematical sciences |
| UTAS Author: | Melton, PE (Dr Phillip Melton) |
| ID Code: | 141431 |
| Year Published: | 2016 |
| Deposited By: | Menzies Institute for Medical Research |
| Deposited On: | 2020-10-20 |
| Last Modified: | 2021-05-18 |
| Downloads: | 0 |
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