Anika Frericks-Zipper, Markus Stepath, Michael Turewicz and Julian Uszkoreit (BioInfra.Prot)
In this one-day event we will show some of BioInfra.Prot's tools provided by de.NBI and have a community meeting in the afternoon.
The focus of the tool part will be protein inference and boosting of identification performance. In order to do this we will use the tool PIA (Protein Inference Algorithms). PIA allows inspecting and combining the results of proteomics search engines. The focus lays on the integrated inference algorithms for identification and quantification purposes. Besides the tool-based session, we offer a session where we show advantages of cloud based bioinformatics and give a tutorial how to access the de.NBI cloud. In addition, attendees will get to know the data science platform KNIME.
As a novelty, there will be an optional community meeting on the same day (“Current and future use cases for BioInfra.Prot services mentioned by the user community”), where the focus will be on social networking and a relaxed exchange of ideas. In addition, selected use cases for data analysis from the proteomics area with BioInfra.Prot tools or services will be presented in short flash talks.
Is your interest sparked? Then simply register with a few clicks via the registration form listed below.
Tool-Training (in the morning):
Attendees of the course will learn how to use the tools PIA effectively for their daily proteomics tasks. Additionally they will learn how to use the de.NBI cloud and the data science platform KNIME.
Community Meeting (optional in the afternoon):
Networking and sharing of ideas in the field of proteomics data analysis and especially the user-oriented development of BioInfra.Prot tools and services.
Learning and discussion based on presented use cases for data analysis from the proteomics area with BioInfra.Prot tools or services
This course is for all researches in the field of proteomics. The attendees should have basic knowledge of LC-MS proteomics, but no prior bioinformatics skills are required. Basic knowledge of how to analyse LC- MS data are sufficient. Attendees are required to have a computer, headset, camera, and a stable internet connection.
Proteomics; Data Analysis; de.NBI Cloud; Community Meeting
- Registration https://mpc-owncloud.phc.ruhr-uni-bochum.de/apps/forms/XGLsrDbp4KpMKLgN