Projects

DeepHyperSpec: Combining spectral and image information in the analysis of hyperspectral imaging data Infrared microspectroscopic imaging is a new technique for rapid, label-free and automated diagnosis of various types of cancer. The technique is expected to enter clinical routine analysis in the years coming.

Understanding the molecular basis of diseases can shed light into new methods to manage and cure diseases. Exploring the common or unique molecular mechanisms among a group of diseases may enhance our understanding of each disease or uncover therapeutic approaches that can be effective in multiple diseases. In this project we develop methods that use biological networks and known gene-disease associations to identify common molecular mechanisms associated across multiple diseases.

Testing stuff

Centre for Environment-friendly Energy Research Research in the past decade has shown that biomass conversion into energy fuels and other value added products, in contrast to traditional refineries, requires highly integrated versatile plants. In most cases, such plants will need to produce a portfolio of products that together secure economic sustainability. The Centre for Environment-friendly Energy Research aims to develop innovative technology and support industries to realize economic and ...

Bioconversion of low-cost fat materials into high-value PUFA-Carotenoid-rich biomass The project aims at upgrading Norwegian animal slaughter fat by-products to high-value fatty acids by fungal fermentation processes.

generation of a toggle switch based on a non-cooperative network

A project created for demonstration

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ERACoBioTech project

This project aims to develop an agent based model using the Netlogo package which can then be used for outreach in schools and the wider community. This model represents the development of breast cancer with the potential for users to explore the effects of combination treatments in silico.

The COLOSYS project aims to develop a deeper understanding of colon cancer networks and convert them into computer models with which it will be better to predict response to treatment. The combination of computational, experimental and clinical testing will provide understanding of drug resistance mechanisms, and allow personalised treatment of colon cancer.

Web application developed using RStudio-Shiny for outreach. Incorporates information, videos and images, worksheets and simulations surrounding breast cancer development and therapy. Incorporates NetLogo simulation from "Outreach - Simulation of breast cancer development using an agent based modelling approach" project.

testing fairdomhub

The gut–brain axis (GBA) provides a bidirectional homeostatic communication between the gastrointestinal tract and the central nervous system. The interdisciplinary collaboration is going to fully explore a first comprehensive GBA cross-disease map of genetic, expression and regulatory changes associated with ulcerative colitis and schizophrenia disease entities.

Dysfunction of this axis can have pathophysiological consequences. Genome-wide association studies (GWAS) have identified >300 ...

documents for use with RStudio-Shiny and java API testing

testing fairdom API in Java and R programming language for use in Breast cancer outreach project

NAD phylogeny

please complete description

This projects seeks to uncover how phytochrome signalling modulates leaf architecture

How light control development