• Leipzig


Dr. Maria Fedorova, Dr. Robert Ahrends (BioInfra.Prot)

March 18th - 22nd, 2019

Center of Biotechnology and Biomedicine (BBZ), Leipzig University,  Leipzig

The main aims of the summer school are to introduce early stage researchers into the field of lipidomics with the focus on understanding the nature of clinical data and associated mass spectrometry derived datasets as well as bioinformatics solutions for lipidomics data analysis and further integration into multi-dimensional datasets. LipoSysMed is planned as an educational and training event based on the interdisciplinary exchange between biochemists, clinicians, analytical chemists, and computer scientists to provide the participants with the full overview of the current status of lipidome analysis strategies and data integration solutions. The program consists of introductory lectures by experts in their respective fields, tutorials on particular aspects of clinical study design, data analysis and lipid identification, biostatistics and data integration, as well as hands-on workshops using different tools for those tasks.

Learning goals:
The goal of LipoSysMed is to provide to all participants the training necessary to work with raw lipidomics datasets aiming its integration in systems medicine workflows via intensive interdisciplinary knowledge exchange and networking between young scientists, advanced PhD students, postdoctoral trainers and a panel of outstanding international experts.

LipoSysMed invites applications from PhD students and early stage postdoctoral researchers working in the field of Omics data acquisition, systems medicine research and clinical implementation of large-scale Omics data. The previous hands-on expertise in mass spectrometry-based lipidomics is not required.

Lipidomics, Systems Medicine, Clinical Diagnostics, Biomarkers, Targeted Analysis, Shotgun, LC-MS, Quantitative Lipidomics, Data Visualization

LipidXplorer, PeakStrainer, LipidHunter, Skyline, LipidCreator, XCMS, LIPID MAPS, MetExplore, STAMPS, LUX Score

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