TY  - JOUR
PB  - BioMed Central
ID  - heidok22245
VL  - 10
IS  - 19
AV  - public
EP  - 4
CY  - London
N2  - 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.
JF  - BMC Proceedings
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/22245/
N1  - From Genetic Analysis Workshop 19, Vienna, Austria. 24-26 August 2014. Erschienen in: BMC Proceedings 2016, 10 (Suppl 7):19
A1  - Engelman, Corinne D.
A1  - Greenwood, Celia M. T.
A1  - Bailey, Julia N.
A1  - Cantor, Rita M.
A1  - Kent, Jack W.
A1  - König, Inke R.
A1  - Lorenzo Bermejo, Justo
A1  - Melton, Phillip E.
A1  - Santorico, Stephanie A.
A1  - Schillert, Arne
A1  - Wijsman, Ellen M.
A1  - MacCluer, Jean W.
A1  - Almasy, Laura
SP  - 1
TI  - Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals
Y1  - 2016///
SN  - 1753-6561
ER  -