Duke University Computational Biology & Bioinformatics

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 2013 Schedule Coming Soon

Time: 11:30am - 12:30pm
Place: 4233 French

Date Speaker Institution Title of Presentation
9/9      
9/16      
9/23      
9/30      
10/7      
10/14 Fall Break No Seminar  
10/28      
11/4      
11/11      
11/18      
11/25      
12/2      
12/9      
       
       
 

 

Spring 2013 Schedule 

Time: 11:30am - 12:30pm
Place: 4233 French

 

Date Speaker Institution Title of Presentation
1/14 Greg Wray Duke University CBB Faculty & Dept of Biology
 "The evolution of human uniqueness:  a multi-omic approach"
1/21 No Seminar    
1/28 Lingling Zheng Duke University CBB Student / Lucas Group Biological pathway selection through Bayesian integrative modeling
2/4 Kris Wood Duke University Dept of Pharmacology & Cancer Biology "Engineering new tools to study and manipulate oncogenic signaling networks"
2/11 Dana Pe'er Columbia University Dept of Biological Sciences Revealing tumor heterogeneity between and within tumors
2/18 Katia Koelle Duke University CBB Faculty & Dept of Biology The effect of vaccination on influenza's rate of antigenic drift
2/25 Kyle Roberts Duke University CBB Student / Donald Group Novel Protein Design Algorithms with Applications to Cystic Fibrosis and HiV
3/4 Ken Dill Stony Brook University Depts of Physics & Chemistry / Director, Laufer Center for Physical & Quantitative Biology
 The principal of 'Maximum Caliber': Modeling dyamics on the nanoscale
3/11 No Seminar    
3/18 Galip Gurkan Yardimci Duke University CBB Student / Ohler Group "Prediction of genome-wide in vivo transcription factor binding using factor-specific DNase footprinting models"
3/25 C. Titus Brown Michigan State Depts of Computer Science & Engineering & Microbiology and Molecular Genetics Building better genomes, transcriptomes, and metagenomes with improved techniques for de novo assembly --an easier way to dot it.
4/1 Marisa Esienberg University of Michigan School of Public Health Dept of Epidemiology. Building models of human disease dynamics using identifiability and parameter estimation
4/8 Jeff Chang University of Texas at Houston Medical School Genomic Dissection of the Cancer EMT Phenotype
4/15 Ashlee Benjamin Duke University CBB Student / Lucas Group "A Flexible Statistical Model for Alignment of Open-Platform Proteomics Data - Incorporating Ion Mobility and High Energy Data"