Session introduction: Microbiome Studies: Analytical Tools and Techniques
James A. Foster1, Jason H. Moore2, Jack Gilbert3, and John Bunge4
1Department of Biological Sciences, University of Idaho, Moscow, ID 83844-3051 and USA Initiative for Bioinformatics and Evolutionary STudies (IBEST) BEACON Center for the Study of Evolution in Action;
2Institute for Quantitative Biomedical Sciences, Departments of Genetics and Community and Family Medicine, Dartmouth Medical School Lebanon, NH 03756 USA;
3Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA and Department of Ecology and Evolution, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637, USA;
4Department of Statistical Science, Cornell University, Ithaca, NY 14853 USA
Email: foster@uidaho.edu; jason.h.moore@dartmouth.edu; gilbertjack@anl.gov; jab18@cornell.edu
Pacific Symposium on Biocomputing 17:200-202(2012)
Abstract
Bacteria and Archaea are major factors in human health and environmental well-being, in ways that we are only now discovering. With new sequencing technologies it is now possible to take deep samples of the microbial species present in a given environment, resulting in very large sequence datasets that require ecologically aware analysis. However, the bioinformatics and statistics this task requires are not fully developed, constituting an active and important research area. This session, the second annual Microbiome Studies session at PSB, presents recent work on the computational and statistical analysis of microbiome data.
[Full-Text PDF] [PSB Home Page]