Proteomics  Data Mining Challenge 2020 

Science
 

Proteomic informatics is rapidly improving, but is it finally ready to help in human disease research? 

This challenge is a test of where we are now in identifying protein post-translational modifications (PTMs) that are relevant in human diseases. 

Highlights:

Over 25 teams around the world have signed up for this challenge to pit their data processing pipelines for PTMs

against

A recently described LCMS analysis of the CSF of ALS patients and matched controls.

The goal of this challenge is to find the best pipelines for identifying PTM biomarkers in global proteomics data. 

Molecule

Participants:

The details you need for this study can be found in this powerpoint you can download here. 

Attention: The powerpoint was updated on 2/25/20 to correct an error in the RAW file assignment list. 

Do you want to participate in this challenge? We are accepting data until April 15, 2020. Email us at: 

lcmsmethods@gmail.com

Microscope

Further details on the dataset we will be re-analyzing can be found here.

Bereman et al., 2018 ((Scientific Reports volume 8, Article number: 16334 (2018))

All data can be downloaded from Chorus Project #1439 (www.chorusproject.org)

Scientist in the Lab

Lou Gherig's disease, or ALS, is a condition with no current cure and limited diagnostics.

You can read a recent open review of the disease at the New England Journal of Medicine here

 

Participants are from*

*Participation is on a voluntary basis and does not necessarily include the endorsement of these institutions.

 
Participant_update_2-28-2020.jpg