This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Keyword Search

Keyword Search Criteria: next-generation sequencing returned 9 record(s)
Sunday, 08/01/2010
Maximizing Efficiency for Next-Generation Sequencing
Joshua Sampson, National Cancer Institute; Nilanjan Chatterjee, National Cancer Institute
3:25 PM

Monday, 08/02/2010
Mixture Regression Modeling of Next-Generation Sequencing Data
Naim Rashid, The University of North Carolina at Chapel Hill
8:35 AM

Approximate Bayesian Inference of Bacterial Population Trees with Next-Generation Sequencing Data
Alexander V. Alekseyenko, New York University; Marc Suchard, University of California, Los Angeles
8:55 AM

A Weighted Average Likelihood Ratio Test with Application to RNAseq Data
Peng Liu, Iowa State University; Yaqing Si, Iowa State University
10:35 AM

Statistical Methods for Detecting Rare Variants Associated with Disease Phenotypes Using Next-Generation Sequencing Data
Xihong Lin, Harvard School of Public Health
11:00 AM

Wednesday, 08/04/2010
Exploring the 1000 Genomes Project with Bioconductor
Vincent James Carey, Harvard Medical School
11:05 AM

Thursday, 08/05/2010
A Novel Genome Continuum Model for Sequence-Based Association Studies
Li Luo, The University of Texas School of Public Health; Momiao Xiong, The University of Texas School of Public Health
8:35 AM

Cost-Effective Combinatorial Design for Rare-Disease Carrier Screen Using Next-Generation Sequencing Technology
Lingling An, The University of Arizona; Dear Pookhao, The University of Arizona
9:05 AM

The GNUMAP Project: Probabilistic Mapping of Next-Generation Sequencing Reads with Applications
W. Evan Johnson, Brigham Young University; Nathan Clement, Brigham Young University; Mark Clement, Brigham Young University; Quinn Snell, Brigham Young University
9:50 AM




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.