Proteomics Informatics Course in Orlando, Florida: September 25 – 29, 2018
Course Objective:
The Seattle Proteome Center (SPC) is pleased to offer a Trans-Proteomic Pipeline (TPP) course that will focus on the use of our open-source software tools for the analysis, validation, storage and interpretation of data obtained from large-scale quantitative proteomics experiments and methods, multi-dimensional chromatography and tandem mass spectrometry.
Through daily lectures and hands-on tutorials, course participants should become proficient in the use of these tools, including PeptideProphet, iProphet, ProteinProphet, ASAPRatio, DISCO, and other components of the TPP. We will show how you can use Amazon Web Services cloud computing to expand your computing capacity via the TPP. There will also be instruction on using SPC resources such as SRMAtlas, PeptideAtlas, related tools, and other software packages.
Prerequisites:
Prerequisite for participation in the course is an understanding in the operation of tandem mass spectrometers, the basic structure and interpretation of peptide MS/MS spectra and proficiency in the use of computers. A commitment to attend the entire course is also required.
Detailed Agenda:
Location:
University of Central Florida Burnett School of Biomedical Sciences
6900 Lake Nona Blvd,
Orlando, FL 32827
Dates:
Tuesday, September 25, through Saturday, September 29, 9:00am – 5:00pm. Participants must commit to attending the entire course and bring their own laptop.
Lodging:
Lodging, Meals and Transportation: These expenses and arrangements are the responsibility of the participants.
Fees:
A non-refundable, non-transferable administrative fee will be charged to successful applicants and is due at the time of registration
- Student participants – $200
- Non-profit participants – $300
- Industry participants – $550
Register at http://www.hupo2018.org
Registration deadline: August 31, 2018.
Receipt of administrative fee completes registration.
Participants must provide their own laptop. Download the TPP software.
