The Finnish Proteomics society, FinnProt, arranges a two-day Bioinformatics course in Biomedicum 1, Helsinki. The course will provide both theoretical and practical training in the use of bioinformatics and statistics tools for mass spectrometric data analysis, with a special focus on proteomics. Participants will get familiarized with the data analysis workflow, starting from the experimental design to functional data analysis. The course comprises both theoretical lectures and hands-on training in computer lab, where participants will be trained in the use of bioinformatics tools.
This course is aimed at MSc and PhD level students, as well as researchers who want to get a better understanding of bioinformatics and statistical methods, and gain experience in functional bioinformatics data interpretation. To enter the course a basic understanding of mass spectrometry-based proteomics is beneficial.
- 16.3.2017 at 10-17 MEETING ROOM 8-9, P-floor
- 17.3.2017 at 9-17 MEETING ROOM 3 (computer room classes), P-floor
Registration and participation
The course is open to all academic researches and students. Number of participants is limited to 30.
Please register at: https://goo.gl/forms/bnS900s4Qr6f2B203 until March 12th, 2017.
The Oodi code for the course is 921257. Participants will obtain 0.5 ECTS (lectures) + 1 ECTS (practical session)
Course will cover:
- The basics of experimental design,
- Mass-spectrometry normalization strategies,
- Principles of statistical tools for MS data analysis,
- Available tools for MS data interpretation,
- Tools for functional analysis and data visualization.
After this course you will be able to:
- Design your proteomic study,
- Evaluate the quality of proteomic data sets,
- Select the appropriate workflow and software tools for MS data analysis,
- Easier publish your proteomics data,
- Get the most out of your proteomic data.
This course is supported by the Doctoral Programme in Biomedicine (DPBM)
Contact info: Maciej Lalowski, firstname.lastname@example.org and Giulio Calza, email@example.com
Proteomics in Finland – Present and future technologies
30.5.2016, Haartman Institute, University of Helsinki
Remember to register. The deadline is 25.5. The link is in the 2nd announcement
2nd announcement: FinnProt spring seminar 2016
- insight to Biosimilars and comparability
April 20 – 22, 2015 in Vienna, Austria
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Advanced Course in Modern Protein Chemistry and Clinical Proteomics
April 20 – 24, 2015 in Helsinki
The Biomedicum Helsinki Clinical Proteomics Unit is arranging a 5 days hands–on course in modern protein chemistry and proteomics.
More information >>
August 2 – 8, 2015
Kloster Neustift (Brixen/Bressanone, South Tirol, Italy)
This summer school is designed to provide graduate students and young postdoctoral scientists from academia and industry with insights into state-of-the-art proteomic technologies and applications in the life sciences.
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Announcement for the 1st Finnish Symposium on Biological Mass Spectrometry
April 14 – 16, 2015 in Tampere
Please see the conference website for more information and follow the pages for frequent updates.
November 7, 2014
The 10th FinnProt Anniversary Symposium is open to everybody, and a major focus of the symposium is to introduce proteomics research performed in Finland. Also several proteomics core facilities in Finland provide their expertise in various fields of protein chemistry, proteomics and mass spectrometry analysis, and they have an opportunity to present their services in the symposium.
More information and registration >>
A walk-through from basics to advanced techniques, September 15 – 19, 2014
This 5-day course includes both hands-on exercises and lectures on mass spectrometry based proteomics techniques. The course starts from a basic protein identification and sample preparation but will provide also an excellent overview of theoretical background in current approaches in proteomics, including protein quantitation by SRM, SWATH MS techniques and protein phosphorylation analysis.
The course is aimed at graduated students and early-stage postdocs. No previous knowledge of mass spectrometry is required.
More information and registration>>