Material for the 2017 May Institute
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Program1_Skyline
Program2_OpenMS/Slides
Program3_Intro stat in R
Program4_Advanced R
Program5_Stat for MS
Program6_Data Viz
Program7_Capstone/Slides
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README.md

README.md

May Institute 2017

The May Institute focuses on computational and statistical aspects of quantitative mass spectrometry-based proteomics. The course combines keynote presentations, introductory lectures, practical training, and informal personal discussions.

Instructors of the course are leading experts in this field, who contributed numerous experimental and computational methods and software. The target audience are both beginners and experienced scientists, who would like to strengthen their computational and statistical expertise. We also welcome computer scientists, bioinformaticians, data scientists, statisticians and engineers interested in learning about working with data from modern biotechnologies. The participants will have many opportunities to ask questions, and will be able to present their research.

Program Overview

May 1-3 : Targeted proteomics with Skyline

May 1-3 : Proteomics and metabolomics with OpenMS

May 3-5 : Beginner’s statistics in R

May 3-5 : Advanced R

May 8-10 : Statistics for quantitative mass spectrometry

May 8-10 : Visualization of biomolecular data

May 10-12 : Capstone – case studies in quantitative mass spectrometry

This program is supported by the 1R25EB023929-01 award from the National Institutes of Health, and by German Network for Bioinformatics Infrastructure.

Video on YouTube

Video