Proteomics Bioinformatics (Virtual – decision pending)12 - 16 July 2021Virtual Course
Deadlines (at 23:59 UTC):
- Application and bursary deadline 08 April 2021
Hands-on training in the basics of mass spectrometry, proteomics bioinformatics, and related methods and resources
PLEASE NOTE: Due to the ongoing Covid-19 pandemic we are no longer able to safely offer this course in a residential format.
We are currently exploring options to deliver the course virtually. Further information and updates will be posted shortly.
Run jointly with EMBL-EBI, this popular course provides hands-on training in the basics of mass spectrometry (MS) and proteomics bioinformatics approaches, search engines and post-processing software, quantitative proteomics approaches and related statistical concepts, MS proteomics data repositories and public data re-use, how to employ existing databases for protein analysis, perform the annotation of subsequent protein lists and the incorporation of information from molecular interaction and pathway databases.
The popular course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.
The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantify peptides and finally to obtain lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.
We are currently exploring options to deliver this course in a virtual format. Further information and updates will be posted shortly.
The programme will include lecture and practical, computational sessions covering the following topics:
- Mass Spectrometry Basics
- Proteomics Bioinformatics Basics
- Quantitative proteomics
- Introduction to data independent acquisition approaches
- Standardisation of proteomics data
- MS proteomics repositories, including PRIDE and PRIDE-related tools and ProteomeXchange
- Introduction to Proteogenomics
- Protein interaction data through IntAct and IMEX resources
- Functional analysis of proteins using Cytoscape and Reactome
After completing the course, participants will be able to:
- Use and understand bioinformatics tools to analyse shotgun proteomics data, involving identification and quantification approaches
- Evaluate the strengths and weaknesses of several experimental and bioinformatics analysis approaches
- Browse, search, submit, retrieve and re-use proteomics data from widely used public proteomics data repositories
- Use tools to perform functional annotation of lists of proteins
- Instructors and speakers
- Cost and bursaries
Cost *Course fee £200 Due to the ongoing Covid-19 pandemic we are exploring options to deliver this course in a virtual format.
*The course fee is subsidised by Wellcome Genome Campus Advanced Courses and Scientific Conferences and applies to non-commercial applicants. Please contact us for the commercial fee.
Limited bursaries are available (up to 50% reduction on the course fee) and are awarded on merit. If you would like to apply for a bursary, please complete the bursary section of the online application form.
Where there are many bursary applications, the selection committee may issue smaller amounts.
Bursaries can be applied for as part of the course application form. Applicants will be notified of a bursary award along with their place on the course, usually within one month of the application deadline. The decision of the selection committee is final.
Please note that both the applicant and sponsor are required to provide a justification for the bursary as part of the application.
Additional funding opportunities
Visit our support page for additional financial support currently available.
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- How to apply
Applicants should be research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.
How to Apply
Please click the Apply button above to begin the online application process. Places are limited and will be awarded on merit. If you have any problems with the online application process, please contact us.
Please note: Applications must be supported by a recommendation from a scientific or clinical sponsor (e.g. supervisor, line manager or head of department). A request for a supporting statement will be sent to your nominated sponsor automatically during the application process. Applicants must ensure that their sponsor provides this supporting statement by the application deadline. Applications without a supporting statement cannot be considered.