INBioPharm (Norwegian University of Science and Technology) ; BioZEment 2.0 (Norwegian University of Science and Technology) ; CoolWine (Norwegian University of Science and Technology) ; Auromega (Norwegian University of Science and Technology)
- Projects (5)
- Institutions (1)
- Investigations (1)
- Studies (1)
- Assays (1)
- Data files (2)
- SOPs (1)
- Publications (2)
- Presentations (0+1)
Increasing temperature in the European wine producing regions is having a negative impact on this key sector. Climate change results in a lack of balance between technological and phenolic ripening of wine grapes and, as a consequence, alcohol increase in wines. This trend is of great concern for the European wine industry because it has a negative impact on wine quality, becomes a hurdle for international trade, and jeopardizes compatibility of moderate wine consumption with a healthy lifestyle.
A joint NTNU and SINTEF project to establish a knowledge platform on DHA synthesis and lipid accumulation in the native DHA-producing thraustochytrids, and to develop these into high productivity omega-3 fatty acid producing cell factories.
INBioPharm - Integrated Novel Natural Product Discovery and Production Platform for Accelerated Biopharmaceutical Innovation from Microbial Biodiversity project will develop a new, generic technology platform for the more efficient discovery of novel bioactive compounds with improved prospects to become medical products. A unique national collection of marine microorganisms at SINTEF/NTNU will be used as the basis for the development of different new, complementary molecular biology, analytical
Programme: Independent Projects
Public web page: https://digitallifenorway.org/gb/projects/inbiopharm
Organisms: Streptomyces coelicolor
Gene co-epxression network analyses are common in the study of large scale biological data sets. In this study, we have developed a methodology for the comparison of pairs of co-expression networks using the s-core network peeling approach. We apply the methodology to gene-expression data for human and mouse.
Snapshots: No snapshots
s-core/ s-core+ network peeling is a methodology to identify cores of weighted complex networks.
Person responsible: Eivind Almaas
Snapshots: No snapshots
We have developed a method for comparative analysis of pairs of complex networks based on gene co-expression analysis. We apply this modeling analysis to data set for gene expressions in multiple tissues of mus musculus and homo sapiens.
Investigation: Development of methods for comparing gene co-ex...
Organisms: No organisms
Models: No Models
This README file describes how the s-core / s-core+ analysis perl script is to be executed together with data files.
Date Published: 8th Oct 2019
Publication Type: Unpublished