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[dropcap]I[/dropcap]n response to the number one training need identified by the Harvard University community, we will be sponsoring a week-long workshop focused exclusively on the analysis of metagenomic data.  This intensive, hands-on course will feature morning and afternoon sessions taught by expert faculty and technical assistants from the Broad, Ragon Institute, Harvard School of Public Health, Stanford University and Washington University, St. Louis.  All participants will acquire fundamental computational skills, appropriate study design, data interpretation, and overall literacy in bioinformatics.

When: 14-18, September : Morning Sessions 9:00 – 12:00 | Afternoon Sessions 2:00 – 5:00

Where: Joseph B. Martin Conference Center Harvard Medical School 77 Avenue Louis Pasteur Boston, MA 02115.

Fee: There is a $350 registration fee to offset the costs of providing this 5 day workshop. Breakfast, lunch, and access to Amazon Web Services cloud infrastructure are included. A networking reception will be held for all participants who complete the workshop.

Program Overview

Monday Introduction and Fundamentals Faculty Member Institution
AM Genomics Study Design Mike Zody  New York Genome Institute
PM Laboratory and Unix Intro. Scott Handley Washington University School of Medicine
Tuesday Amplicon Analysis
AM OTU Picking Strategies and Analysis  Yoshiki Vazquez Baeza and John Chase Knight and Caparossa Laboratory, UCSD and Northern Arizona University
PM Restarting your Amazon AMI

Introduction to QIIME (laboratory)

QIIME PCoA plots

 Yoshiki Vazquez Baeza and John Chase Knight and Caparossa Laboratory, UCSD and Northern Arizona University
Wednesday Microbial Ecology
AM Microbial Ecology Paul J. McMurdie Second Genome
PM PhyloSeq Paul J. McMurdie Second Genome
Thursday
AM PhyloSeq Paul J. McMurdie Stanford University
PM Introduction to Metagenomics Eric Franzosa and Galeb Abu-Ali Huttenhower Laboratory, Harvard School of Public Health
Friday
AM Metagenomics Laboratory Eric Franzosa and Galeb Abu-Ali  Huttenhower Laboratory, Harvard School of Public Health
PM  Open Lab  Everyone