ABRF Online Workshops - Using R in Proteomics Core: from QC to Data Analysis

When: March 23 & 25, 2021
Time: 1:00 - 3:00 p.m. EST

REGISTER HERE

Registration Fees:
ABRF Members - $25 
Non-Members - $50

 

This workshop is designed to introduce proteomics Core staff and users to the basic principles of R packages designed for proteomics data. The course will assume basic familiarity with mass spectrometry-based proteomics data, but does not assume prior R programming training. The participants will be exposed to practical exercises aimed to import quantitative proteomics data (label-free and isobaric tag) into R followed by exploratory data analysis, basic machine learning techniques, differential abundance, and protein set analysis. We will cover a number of R packages for proteomics data analysis. 

Speakers: 

  • Laurent Gatto, Duve Institute UCLouvain
  • Christian Panse, Functional Genomics Center Zurich
  • Tobias Kockmann, Functional Genomics Center Zurich
  • David Jimenez-Morales, Stanford University 
  • Alex Campos, Sanford-Burnham-Prebys Med. Disc. Institute