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
In: BMC Proceedings, 10 (2016), Nr. 19. pp. 1-4. ISSN 1753-6561
Preview |
PDF, English
Download (249kB) | Lizenz:  Creative Commons Attribution 3.0 Germany
|
Citation of documents: Please do not cite the URL that is displayed in your browser location input, instead use the DOI, URN or the persistent URL below, as we can guarantee their long-time accessibility.
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.
| Document type: | Article |
|---|---|
| Journal or Publication Title: | BMC Proceedings |
| Volume: | 10 |
| Number: | 19 |
| Publisher: | BioMed Central |
| Place of Publication: | London |
| Date Deposited: | 05 Dec 2016 14:10 |
| Date: | 2016 |
| ISSN: | 1753-6561 |
| Page Range: | pp. 1-4 |
| Faculties / Institutes: | Medizinische Fakultät Heidelberg > Institut für Medizinische Biometrie |
| DDC-classification: | 610 Medical sciences Medicine |
| Additional Information: | From Genetic Analysis Workshop 19, Vienna, Austria. 24-26 August 2014. Erschienen in: BMC Proceedings 2016, 10 (Suppl 7):19 |
