Welcome to: Big data – from raw data to data integration in clinical research projects

Program: Main CSLTM

·        Biomedicine (B)

·        Clinical and Pharmacological Medicine (CPM)

·        Clinical Science, Laboratory and Translational Medicine (CSLTM) 

Description: Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and medical investigation. Omics is an interdisciplinary research field that coalesces researchers from many different areas of biomedical research into one of the most likely disciplines to successfully foster the translation of basic scientific knowledge into clinical applications for the benefit of patients. In most clinical projects a wide range of clinical assessment data are available e.g. gender, BMI, blood and immunological assays as well as Omics based “bigdata”.

This PhD course will focus on basic-to-advanced bioinformatics workflows of Omics data management and processing in Life & Medical sciences. A key focus will be to address statistical and computational workflows needed to integrate drylab and wet lab based data for tables and visualization for research reports and publicaitons.

Literature/Requirements: Prior to the PhD course a package of literature and an R tutorial must be completed

Prerequisites: None; Basic R skills

Evaluation: Active participation in the theoretical and experimental course.

Organizer: Allan Stensballe

Lecturers: Allan Stensballe & Christopher Aboo

ECTS: 2

Time: 2-4 October 2024

Place: TBA

Zip code:

City:

Number of seats: 25

Deadline: 11 September 2024

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