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Biostatistics
IKBMThe Biostatistics group at IKBM has its major research activities in the exciting and highly evolving scientific borderland between bioinformatics and applied statistics. Being at a biotechnology department, it is not unnatural that functional and comparative genomics have been in our focus in recent years, but also proteomics, chemometrics and other life sciences have received contributions from our group. Recently, we have also started research in forensic genetics, focusing on statistical methods, and systems biology, focusing on plant biology.
One major activity is to improve methods for analyzing gene expression data. A specific project is aimed at developing stable and robust assays for early detection of breast cancer and Alzheimer’s disease using gene expression technology and peripheral blood as clinical sample. This is done in collaboration with the company Diagenic AS.
Another major activity is microbial comparative genomics, where we are developing methods for whole-genome analyses of prokaryotes. This is done in collaboration with the Microbial gene technology group at IKBM as well as the Norwegian School of Veterinary Science and the Microbial Comparative Genomics group at CBS, DTU, Denmark.
One of the current projects is a collaboration with the Norwegian School of Veterinary Science and the Norwegian Veterinary Institute (http://www.vetinst.no/eng/) where major databases of Norwegian cattle, goats, farms, slaughterhouses, milk production, trade, etc. are analysed. The aim is to make use of multivariate statistical process control and spatio-temporal analysis to develop a system for risk based surveillance of cow diseases.
Thore Egeland joined the group January 2011 and he has continued his research focusing on statistical methods in forensic genetics. This activity is currently partly financed by Euroforgen: European Network of Excellence project in forensic genetics. Freely available software, such as Familias continues to be expanded with collaborators (Petter Mostad, Phd-student Daniel Kling) and new programs including FamLink have been developed by Daniel Kling.
Torgeir R. Hvidsten joined the group in June 2012 and continues his research focusing on network representations of omics data from plants. Applications include comparative regulomics (network alignment across species) and systems genetics (analysis of phenotypes stemming from natural variation or genetic modification). The projects rely on collaborations with biologist from Umeå Plant Science Centre and IPM. Several online tools are under development including PopGenIE.
The group is also responsible for teaching courses in statistics, bioinformatics and mathematics at the university. We have devoted many resources to introducing R and the R Commander in all courses from the basic introductory to Master courses in statistics and bioinformatics, see http://repository.umb.no/R/.
The Biostatistics group, spring 2013:
Thore Egeland, Professor, group leader
Torgeir Hvidsten, Professor
Solve Sæbø, Professor.
Trygve Almøy, Associate Professor
Lars Snipen, Associate Professor and Sultan
Petter Mostad, Associate professor II (Chalmers, Sweden)
Kristian Hovde Liland, Associate Professor II (NOFIMA)
Ellen Sandberg, Assistant Professor
Guro Dørum, Post Doc.
Magdalena Karlsson, PhD student
Elena Menichelli, PhD student
Daniel Kling, PhD student
Hilde Vinje, PhD student
Navreet Kaur, PhD student
Niklas Mähler, PhD student
Lars Erik Gangsei, PhD student
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Oppdatert: 16.05.13
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Institutt for Kjemi, bioteknologi og matvitenskap
Institutt for kjemi, bioteknologi og matvitenskap, UMB
Postboks 5003
1432 Ås
Tlf.: 64 96 59 00
Faks: 64 96 59 01
E-post : ikbm@umb.no
Besøksadresse:
Bioteknologibygningen (nr. 44 på oversiktskartet)
Christian Magnus Falsens vei 1, 1430 Ås
Postboks 5003
1432 Ås
Tlf.: 64 96 59 00
Faks: 64 96 59 01
E-post : ikbm@umb.no
Besøksadresse:
Bioteknologibygningen (nr. 44 på oversiktskartet)
Christian Magnus Falsens vei 1, 1430 Ås