Session 1

08:20 - 08:30
 

Welcome from the committee
 

08:30 - 09:20
 

Highlight Speaker: Zemin Zhang, Genentech, San Francisco (USA)
Identification and computational analysis of somatic mutations in cancer samples.

09:20 - 09:45
 

Gustavo Parisi. Universidad Nacional de Quilmes, Buenos Aires (Argentina)
Improving the prediction of disease-related variants using protein dynamism.

09:45 - 10:10
 
 

Maricel Kann. University of Maryland, Baltimore (USA)
Protein Domain-Centric Approach to Study of Cancer Somatic Mutations.
 

10:10 - 10:30
 

Coffee Break
 

10:30 - 10:55
 
 

Lei Xie. Hunter College, New York (USA)
Multiscale Modeling of Causal Phenotypic Associations of nsSNPs: Application to Hypoxia.

10:55 - 11:20
 
 

Nouf Alnumair. University College London (UK)
The SAAP database and other tools to analyze the impact of mutations and predict
the pathogenicity of a novel mutation.

11:20 - 11:45
 

Frank Schacherer. BIOBASE GmbH.
Predicting the disease potential of gene mutations with MutationTaster

11:45 - 12:25
 

Keynote Presentation: Oliver Lichtarge, Baylor College of Medicine, Houston (USA).
Missense Mutations in Action: an Analytic View

12:25 - 12:40

Company Presentation Frank Schacherer, BIOBASE GmbH.

12:40 - 13:20

Lunch Break and Poster Session with the Authors

Session 2

13:20 - 14:10
 

Highlight Presentation: David Haussler, University of California Santa Cruz (USA).
Somatic mutations in cancer as assessed by whole genome sequencing

14:10 - 14:35
 
 

Boris Reva. Memorial Sloan-Kettering Cancer Center, New York (USA)
Revealing selection in cancer using the predicted functional impact of cancer mutations.
Application to nomination of cancer drivers

14:35 - 15:00
 

Janita Thusberg. Buck Institute, Novato (USA).
Predicting Pharmacogenetic Protein Variants.

15:00 - 15:25
 
 
 

Adam Kowalczyk. University of Melbourne (Australia).
Detection and analysis of interactions in multiple GWAS studies using standard
desktop PC.
 

15:25 - 15:45
 

Coffee Break
 

15:45 - 16:10
 

Yana Bromberg. Rutgers University, New Brunswick (USA)
Noise in Biology: defining the neutral range of protein function.

16:10 - 16:50
 
 

Keynote Presentation: Russ Altman, Stanford University (USA).
Defining levels of evidence supporting clinically actionable SNP associations.
 

16:50 - 17:20 
 

CAGI corner: Steven Brenner, University of California Berkeley (USA)
 

17:20 - 18:10
 
 

Round Table discussion:
Andre Franke, Rachel Karchin, Sean Mooney, Shamil Sunyaev.
 

18:10 - 18:20

Closing remarks from the committee.