Registration fee: $350.00
The Harvard University Center for AIDS Research; the Ragon Institute of MGH, MIT and Harvard; and the Clinical and Translational Epidemiology Unit at MGH presents a week-long workshop focused exclusively on approaches to the analysis of high-throughput transcriptome data.
This intensive, hands-on course will feature morning and afternoon sessions taught by expert faculty and technical assistants. All participants will acquire fundamental computational skills, appropriate study design, data interpretation, and overall literacy in bioinformatics.
When: 11-15, September, 2017 : Morning Sessions 9:00 – 12:00 | Afternoon Sessions 1:00 – 4:00
Where: Ragon Institute
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.
Application Information is available at: https://www.events.harvard.edu/profile/form/index.cfm?PKformID=0x5128498bae
Amazon Web Services Information: https://docs.google.com/spreadsheets/d/1gB_s97yKiqaWolJY5aNr0R7BcyO5TboOPpCcKIKDCZg/edit?usp=sharing
PuTTY: https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html
MobaXterm: http://mobaxterm.mobatek.net
Alejandro’s dropbox link: Here
PROGRAM OVERVIEW
Monday | Topic | Faculty Member | Institution |
Monday AM | UNIX and Computing Environment | Guy Leonard | University of Exeter |
Tuesday | Introduction to R – Slides – Exercise | Scott Handley | Washington University School of Medicine |
AM | Transcriptomics Lecture – Updated | Brian Haas | The Broad Institute |
PM | Transcriptomics Lab | Brian Haas | The Broad Institute |
Wednesday | |||
AM | Differential Expression – Intro Slides | Alejandro Reyes | Dana-Farber Cancer Institute |
PM | Differential Expression Lab | Alejandro Reyes | Dana-Farber Cancer Institute |
Thursday | |||
AM | Single-cell Transcriptomics | Peter Kharchenko | Harvard Medical School |
PM | Single-cell Transcriptomics Lab – GitHub Link | Peter Kharchenko | Harvard Medical School |