Recent Posts

• November 29, 2024

  New visiting PhD student

  We are happy to announce that Thomas-Sylvestre Michau has joined Kuijjer group on a 3-week research visit. Thomas-Sylvestre is a PhD student in the group of our collaborator Maud Fagny, where he works on single-sample network modeling of cis-regulatory interactions in maize response to drought. His visit will include joining the group's regular meetings, as well as participating in our multi-omics data integration for precision medicine course, and...

• November 19, 2024

  New group member

  We are very excited to announce that Parastoo Shahrouzi (Paris) has joined Kuijjer group to establish the group's wet-lab arm! Paris has a degree in functional cancer genomics from the University of Basque Country, Spain, after which she joined our collaborator Vessela Kristensen's group at Oslo University Hospital on a Marie Curie Scientia II postdoctoral fellowship. Paris will be working on validating regulatory alterations driving breast cancer heterogeneity and...

• November 18, 2024

  Teaching in Freiburg

  On November 14, Marieke gave a seminar at the MeInBio program of the University of Freiburg, followed by a hands-on workshop, in which the students learned how to model gene regulatory networks and perform a comparative network analysis PANDA. It was a pleasure to work and discuss with the intelligent and motivated students from the program.

• November 17, 2024

  Familien Blix Award

  Marieke received the Familien Blix Award for Outstanding Cancer Research on Oct 29. The award ceremony was held in the university's old festive hall and included moving talks by patients, the Norwegian Cancer Society, and representatives from the University of Oslo and Faculty of Medicine. The ceremony was accompanied by music by Tine Thing Helseth, and followed by a nice dinner.

• October 31, 2024

  New bioRχiv pre-print

  We have a new BioRχiv pre-print by Ladislav, in which we present SPONGE, a new Python tool that simplifies generating up-to-date priors for gene regulatory network (GRN) modeling, boosting their reproducibility and accuracy.