Sponsored by the Division of Clinical Research, Department of Molecular Biology, MGH and the Nutrition Obesity Research Center at Harvard
Dates: May 18, 25, June 2, 9 and 16th
This introductory mini-course is intended for experimentalists who would like to get oriented in basic Bioinformatics concepts and tools. It is intended as a primer that would allow you to better understand general ideas and approaches and to start asking the right questions about your data. If you want to drill very deeply into a specific question or to get hands-on experience, this probably isn't a course for you.
However, we are open to organizing more in-depth courses and workshops in the future. This course will consist of five seminars with basic introduction to specific topics.
Course Outline:
Session 1: Basic Statistics & Introduction to R
Session 2: Protein/gene sequence analysis and protein structure prediction
Session 3: Microarray expression analysis and gene set enrichment analysis
Session 4: Next generation sequencing (NGS) analysis -- part 1
Session 5: Next generation sequencing (NGS) analysis -- part 2
You can download R here: www.r-project.org. R is a very powerful statistical package that is also free. If using a Mac and having some troubles with R - please reference https://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html
Registration is required: Please contact Kelsey Gay at @email or Ruslan Sadreyev at @email with any questions.
Session Info
- May 18, 2016 (01:00 PM - 02:30 PM) - Basic statistics and introduction to R
- May 25, 2016 (01:30 PM - 03:00 PM) - Protein/gene sequence analysis and protein structure prediction
- June 02, 2016 (01:00 PM - 03:00 PM) - Microarray expression analysis and gene set enrichment analysis:
- June 09, 2016 (01:30 PM - 03:00 PM) - Next generation sequencing (NGS) analysis -- part 1
- June 16, 2016 (01:30 PM - 03:30 PM) - Next generation sequencing (NGS) analysis -- part 2