Course Dates: August 5 – August 15, 2015
Deadline: April 8, 2015 | Online Application Form
Deep DNA sequencing using massively-parallel, next-generation technology has enabled nearly comprehensive environmental surveys that can describe the different kinds of microbes in a community and their relative abundance. These descriptions of richness and evenness make possible estimates of microbial diversity, but the size of the required data sets pose enormous computational challenges. The rapidly expanding flow of information from next generation DNA sequencing platforms has fueled healthy debate about best practices for data analysis while at the same time building a user demand for tools that can address important ecological questions. The STAMPS course will promote dialogue and the exchange of ideas between experts in analysis of metagenomic data and offer interdisciplinary bioinformatic and statistical training to practitioners of molecular microbial ecology and genomics.
Topics to be covered include but are not limited to acquisition and organization of next generation sequence data; principles of quality control of sequence data and data management; methods of taxonomic assignment and clustering of targeted gene data; assembly, functional classification and characterization of shotgun metagenomic data; statistical models for estimating microbial diversity; and microbial community comparison methodology and metrics. The workshop also includes an introduction to the Linux command-line and R statistical environments. The lectures will be augmented by a computer laboratory where students will have the opportunity to use state of the art facilities to test theoretical concepts described in the lectures series. Guided by authors of resources including CatchAll, LEfSe, mothur, Oligotyping, MetaPathways, MetaPhlAn, PhyloSeq, QIIME, USEARCH, Unifrac, and VAMPS, participants in the workshop will have the opportunity to compare different analysis techniques for molecular data, analyze their own data, and discuss their data and analyses with faculty.
The course is designed for established investigators, postdoctoral fellows and advanced graduate students from diverse biological fields. The Workshop Participants will also be given priority for acceptance into the MBL’s Workshop in Molecular Evolution that will meet the preceding week. This option will provide an opportunity to develop a stronger conceptual framework for understanding the basis of analytical tools in the STAMPS workshop.
2014 Course Faculty:
John Bunge, Cornell University
Steven Hallam, University of British Columbia
Susan Holmes, Stanford University
Susan Huse, Brown University
Curtis Huttenhower, Harvard School of Public Health
Rob Knight, University of Colorado
Hilary Morrison, MBL
Mihai Pop, University of Maryland
Christopher Quince, University of Warwick
Tracey Teal, Michigan State University