title: Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals
creator: Engelman, Corinne D.
creator: Greenwood, Celia M. T.
creator: Bailey, Julia N.
creator: Cantor, Rita M.
creator: Kent, Jack W.
creator: König, Inke R.
creator: Lorenzo Bermejo, Justo
creator: Melton, Phillip E.
creator: Santorico, Stephanie A.
creator: Schillert, Arne
creator: Wijsman, Ellen M.
creator: MacCluer, Jean W.
creator: Almasy, Laura
subject: ddc-610
subject: 610 Medical sciences Medicine
description: 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.
publisher: BioMed Central
date: 2016
type: Article
type: info:eu-repo/semantics/article
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/22245/1/12919_2016_Article_7.pdf
identifier: DOI:
identifier: urn:nbn:de:bsz:16-heidok-222450
identifier:   Engelman, Corinne D. ; Greenwood, Celia M. T. ; Bailey, Julia N. ; Cantor, Rita M. ; Kent, Jack W. ; König, Inke R. ; Lorenzo Bermejo, Justo ; Melton, Phillip E. ; Santorico, Stephanie A. ; Schillert, Arne ; Wijsman, Ellen M. ; MacCluer, Jean W. ; Almasy, Laura  (2016) Genetic Analysis Workshop 19: methods and strategies for analyzing human sequence and gene expression data in extended families and unrelated individuals.  BMC Proceedings, 10 (19).  pp. 1-4.  ISSN 1753-6561     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/22245/
rights: info:eu-repo/semantics/openAccess
rights: Please see front page of the work (Sorry, Dublin Core plugin does not recognise license id)
language: eng