2007 Epistasis Symposium:
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Steve H. Howell
,
Plant Sciences Institute, Iowa State University
Welcome and Opening Remarks
Max F. Rothschild
,
Center of Integrated Animal Genetics, Iowa State University
Welcome and Opening Remarks
Michael Wade
,
Indiana University
The effects of epistasis and mating system on evolution
Bruce Walsh
,
University of Arizona
Role of epistasis in the reponse to natural and artifical selection
Lilach Hadany
,
University of Iowa
Adaptation in epistatic genetic systems: the role of variation in variation and selection
Charles Goodnight
,
University of Vermont
Selection and drift in small populations
Alexander De Luna
,
Harvard Medical School
Using quantitative genetic interactions to evaluate the role of duplicate genes in mutational robustness
Ryan Kelley
,
University of California
Using protein networks to interpret genetic interactions
Gunter Wagner
,
Yale University
Measuring epistasis, pleiotropy, and the cost of complexity
Mihaela Pavlicev
,
Washington University
The contribution of differential epistasis to the variation in pleiotropy
Roman Yukilevich
,
Stony Brook University
Adaptive walks of epistatic genetic networks reveal long waiting times punctuated by large muatational jumps
Dusan Misevic
,
Swiss Federal Institute for Technology
Measuring epistasis and sex: population v. physiological approach
Suzannah Rutherford
,
Fred Hutchinson Cancer Research Center
Threshold trait architecture of Hsp90-buffered variation
Laura Galloway
,
University of Virginia
Epistasis between generations: The influence of maternal-offspring interactions on life history evolution of an herbaceous plant
Jason Wolf
,
University of Manchester
Analysis and evolutionary consequences of epistasis from parent-offspring interactions
Carolyn deGraaf
,
The Walter and Eliza Hall Institute of Medical Research
Gene interaction during mouse megakaryocyte production
Yi Jia
,
Iowa State University
Genetic control of the transcription of Natural Antisense Transcripts (NATS) in maize
Robert Heckendorn
,
University of Idaho
Testing the structure of naturally occurring epistasis and the limited epistasis hypothesis
Anne E. Stapleton
,
University of North Carolina
Recursive partitioning provides simple and powerful identification of loci and epistasis
Jose Alvarez-Castro
,
Linnaeus Centre for Bioinformatics
A General Framework to model functional and statistical epistasis
Daniel Gianola
,
University of Wisconsin
Semi-parametric and machine learning approaches for modeling phenotypic complexity using massive genomic data
Greg Dyson
,
University of Michigan
A strategy for characterizing the contribution of G by E and G by G interactions to predicting the risk of ischemic heart disease
Ron-Cai Yang
,
University of Alberta
A direct approach to modeling epistasis
Wen-Hua Wei
,
Roslin Institute
Mapping epistatic QTL in structured outbred crosses--a comprehensive algorithm and its application
Luis Varona
,
Institute de Recerca y Tecnologia Agroalimentares
The role of epistasis on productive traits in pigs
James Cheverud
,
Washington University
Epistasis, pleiotropy, and the evolution of modularity
Christina Burch
,
University of North Carolina
Epistasis in phage, flies, and fake organisms. What are the causes of synergistic epistasis?
Paul Sternberg
,
California Institute of Technology
Predicting and measuring genetic interactions in C. elegans
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