AlgorOmics – Bioinformatics algorithms for integrated analysis and visualization of omics data

The main aim of this project is to develop and implement algorithms for integration, visualization, and analysis of large-scale omics data, with applications in stem cell differentiation and drug development.

Omics data integration is complicated and encompasses many significant and unresolved challenges, such as consolidation of data in public repositories, integration of data from different platforms, organisms, and omics domains, as well as standardization of processing workflows and visualization of data and results that facilitates biological insights and knowledge discovery. The algorithms that are developed in this project address these challenges and provide new methods for biomarker discovery and explorative analysis of multi-omics data.

The expected contributions from the project include the establishment of innovative algorithms, as well as identification of novel biomarker candidates by the application of these algorithms on various types of biomedical data that are generated in the project.

 

Project leader

The project in short

Full name of project:
Bioinformatics algorithms for integrated analysis and visualization of omics data

Durance:
2017-04-01 to 2020-03-31

Financed by:
Knowledge Foundation, University of Skövde, AstraZeneca, Takara Bio Europe

Collaborating partners/Partnership:
AstraZeneca, Takara Bio Europe

Participating researchers

Benjamin Ulfenborg, PhD
Jane Synnergren, Associate Professor
Peter Sartipy, Adjunct Professor
Sepide Hagvall, Adjunct Professor