Computational Analytics Support Platform (CASP)
The Computational Analytics Support Platform (CASP) is a KBC infrastructure, providing data analytics support to life science researchers. At present, large amounts of data are generated by modern high-throughput technologies. The ability to analyse and draw valid conclusions from such complex data sets has become a bottleneck for many life science researchers. CASP aims to fill this gap, becoming a bridge between data and life sciences.
The platform primarily supports, but also trains life scientists in the analysis of experimental data using data-driven tools and strategies. The main goal is to help researchers convert complex data into meaningful biological and chemical interpretations, providing a missing link to the strong ongoing experimental research at UmU.
CASP provides researchers with modern data analytics tools primarily within multivariate data analysis, but also within AI/deep learning, machine learning, univariate statistics and statistical experimental design. The team focuses on the analysis of experimental data from a wide range of technologies, including, but not limited to, downstream omics (metabolomics/proteomics), spectroscopy and imaging.
CASP also acts as an extended support for researchers who use Umeå University's experimental platforms such as the Swedish Metabolomics Centre (SMC) and the Vibrational Spectroscopy Core Facility (ViSp).
Support can be provided from day one starting with experimental design, quality control of generated data, basic and more in-depth data analysis, through to interpretation of results, experimental validation and publishing.
We are happy to answer any questions you may have and look forward to supporting you in your projects.