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215392 - Statistical and Computational Methods and Software for Microbiome and Metagenomics and Applications (ADDED FEE)
Type: Professional Development
Date/Time: Sunday, July 29, 2018 : 8:00 AM to 12:00 PM
Sponsor: ASA
Abstract #333083
Title: Statistical and Computational Methods and Software for Microbiome and Metagenomics and Applications (ADDED FEE)
Author(s): Hongzhe Li* and Curtis Huttenhower*
Companies: Harvard University and University of Pennsylvania
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Abstract:

The microbial organisms in and on human body constitute the human microbiome, of which the largest collection of microbes resides in the gut. The gut microbiome plays an important role in human health and disease. Research in the last decades have clearly shown that perturbation of the microbial ecosystem could be responsible for many complex . High-throughput sequencing technologies make it possible to interrogate the metagenomics of all microbes in human gut, which allows us to characterize composition of both microbe genes and species, to quantify the dynamics of a microbial ecosystem and to understand their role in human diseases. Analysis of such microbiome and metagenomics data is however challenging due to complexity of the communities and high dimensionality of the data. This course will introduce the statistical and computational tools for functional metagenomics, including methods for accurately estimating the microbial composition, genes and functional group composition of a microbiome, methods for identifying disease-associated bacterial taxa based on high dimensional compositional data and their mediating. Software demos will be also provided so that students will leave the course with the tools necessary to perform common analyses of microbiome and metagenomics data. Detailed analysis of the HMP data will be presented.


Authors who are presenting talks have a * after their name.

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