Computational Biology Seminar

The Computational Biology Seminar is a weekly series of seminars on topics in computational biology presented by invited speakers, Duke faculty and CBB doctoral and certificate graduate students.

Fall 2008 Schedule

Time: 4:00 - 5:00pm
Place: 103 Bryan Research Building

Date Speaker Institution Title of Presentation
9/3 Curtis Layton CBB PhD Student, Homme Hellinga Group Computational design of protein-protein interactions
9/10 Ed Ionides University of Michigan Dept. of Statistics Infectious disease dynamics: a statistical perspective
9/17 Saurabh Sinha University of Illinois at Urbana-Champaign Comparative genomics of regulatory sequences in medium to large divergence regimes
9/24 Supriya Munshaw CBB PhD Student, Tom Kepler Group A large-scale analysis of the antibody response against HIV-1 in acute and chronic individuals
10/1 Karen Mohlke University of North Carolina Chapel Hill Dept. of Genetics  
10/8 Eric Stone North Carolina State University Dept. of Statistics Objective clustering for inference in systems genetics
10/15 Cliburn Chan Dept. of Biostatistics & Bioinformatics Statistical modeling of multi-parameter flow cytometry
10/22 Ken Yokoyama CBB PhD Student, Greg Wray and Uwe Ohler Groups Functional sequence predictions using position-specific overrepresentation and inter-motif distance preferences
10/29 Fred Nijhout Department of Biology  
11/5      
11/12 Anita Layton Department of Mathematics Multistable dynamics mediated by tubuloglomerular feedback in a model of
coupled nephrons
11/19 Christina Leslie Sloan-Kettering Institute  
12/3 TBA Duke University De novo genomic sequencing of the fungus Holleya sinecauda by paired end Solexa sequencing
12/10