UMU logo

Computational Life Science Cluster (CLiC)

The Computational Life science Cluster (CLiC) at KBC aims to stimulate, organize and advance computer based modelling, tools and strategies to understand complex biological systems and e-bioscience at Umeå University. One of our specific goals is to establish a critical and missing link to the ongoing strong experimental research at UmU, e.g. UPSC, UCFB, FuncFiber, MIMS, UCMR and UCMM centers. This in turn, will establish a unique bioinformatics/e-science profile in Umeå. The identified main Research Areas within CLiC are:
  • Omics-technologies (mainly transcriptomics, proteomics, metabolomics)
  • Network modeling, databases and visualization
  • Structural biology and sequence analysis
Contact and Steering committee:
Assoc. prof. Henrik Antti, This email address is being protected from spambots. You need JavaScript enabled to view it.
prof. Patrik Rydén, This email address is being protected from spambots. You need JavaScript enabled to view it.
Assoc. prof. Uwe Sauer, This email address is being protected from spambots. You need JavaScript enabled to view it.
Assoc. prof. Johan Trygg, This email address is being protected from spambots. You need JavaScript enabled to view it.

play Webpage of CLiC

footer all slides 2014-02-06


Copyright © 2019 by The Laboratory for Molecular Infection Medicine Sweden (MIMS). All rights reserved.