Big data - from raw data to data integration in clinical research projects (2024)

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: 2-3 October 2024 kl. 8.30-16.00 and 4 October 2024 kl. 8.30-14.00

Place: Aalborg University, SelmaLagerløfsvej 249,  Room 14.01.004

Zip code: 9260 

City: Aalborg

Number of seats: 25

Deadline: 11 September 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.