CASP is a data analytics platform at Umeå University that supports life science researchers in the analysis of their experimental data, using advanced data-driven tools and strategies.
The Computational Analytics Support Platform description
Our mission is to help life science researchers understand complex chemical and biological systems. This is achieved via the application and development of advanced computer-based modelling tools. CASP’s focus is on the analysis of non-gene related data from a wide array of technologies including downstream ‘omics’, spectroscopy and imaging. Our approach has multiple applications in areas including health, medicine, pharmaceuticals, agriculture and the food science industries. CASP is also an Umeå node and representative of NBIS (National Bioinformatics Infrastructure Sweden).
What we do
At present, huge amounts of data are generated not only in genomics, but also by other modern high-throughput technologies such as ‘omics’ and sensor technologies. The ability to analyze and draw valid conclusions from complex data has become a bottleneck for many life science researchers.
CASP’s aim is to overcome this by becoming the bridge between data and life sciences. We provide researchers with modern data analytics tools within multivariate data analysis, statistics, AI/deep learning, machine learning, bioinformatics and design of experiments, for the analysis of non-gene related data, such as ‘omics’, spectroscopy and imaging data. Ultimately, we hope to provide the missing link that enables projects to go from data to completion.
How we can help your project
Our main mission is to support researchers deliver high-quality results, by converting complex data into meaningful biological/chemical interpretations relating to their specific scientific question.
Our uniqueness arises from our expertise – we not only understand mathematics, statistics and modelling, but we have wide domain knowledge arising from active engagement in numerous projects in the ‘omics’ area and beyond. Therefore, we are able to ‘jump in’ to your project from day one and provide support every step of the way. This can mean starting from experimental design, quality control of generated data, basic and more in-depth analysis, through to interpretation of results, experimental validation and publishing.
Support and services we provide
We offer different kinds of support for all types of data and research questions:
Packaged and customer-specific data analytics services
Expanded data analytics support for high-throughput experimental platforms
Data science support within interdisciplinary collaborative projects
Design of Experiments (DOE) / Statistical experimental design
Randomized control trial (RCT) studies
Data preprocessing, normalization, standardization and scaling
Multivariate data analysis
Principal Components Analysis (PCA)
Partial Least Squares regression analysis (PLS)
Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA)