2025

This seminar will be centered around thoughts and experiences on code review sessions.

We were very happy to see such a large turnout at the BiLS kick-off on 16th of May. We are now excited to invite you to the first ordinary Bioinformatics in Life Science (BiLS) seminar on Tuesday August 19th at 10:00 CET in Nucleus, Kristine Bonnevies House.

BiLS Kick-Off Friday May 16th : A sunny start to a collaborative future

The BiLS kick-off event was a great success! Around 120 participants joined us for an inspiring afternoon filled with engaging discussions and a shared excitement about what lies ahead.

• BiLS need a simple, yet catchy logo. The logo will be used for easy recognition of the environment and will be shown on our webpage. We therefore announce a competition for creating the BiLS logo. AI tools are allowed to use. Send in your suggestions by the end of August to bils-core@mn.uio.no. The winner will be rewarded with glory and chocolate. The new logo will be announced on the BiLS seminar

Sveinung Gundersen of ELIXIR.Oslo has been one of the key developers of new standards for sharing of genomic and related health data. 

Great news from the Research Council of Norway! The ELIXIR4 Open Life Science project, led by Professor Sushma Grellscheid at CBU, has been approved for funding under the RCN Infrastructure program. This grant marks the fourth in a series of investments that provide foundational support for Norway’s node in the European research infrastructure ELIXIR, dedicated to biological data.

Scientists are now analysing all the genes in the intestinal content of thousands of people. The aim is to reveal the early phase of colorectal cancer by looking at the microbiota in the bowel.

"MoDLE is a computational tool for fast, stochastic modeling of molecular contacts from DNA loop extrusion capable of simulating realistic contact patterns genome wide in a few minutes. MoDLE accurately simulates contact maps in concordance with existing molecular dynamics approaches and with Micro-C data, and does so orders of magnitude faster than existing approaches. MoDLE's speed opens up for exploratory and predictive modeling of 3D genome structure in a wide range of settings", says Jonas Paulsen, professor at the Department of Biosciences.

"The new version 3 of the Swarm software is a major step towards clustering extremely large amplicon datasets used in microbiome studies. It includes extensive improvements that make it about 10 times faster and twice as memory efficient as the previous version. Swarm makes it possible to cluster a huge dataset in reasonable time at one go, unlike other approaches where a large dataset needs to analysed in smaller portions," says Torbjørn Rognes, professor at the Centre for Bioinformatics.

The work was carried out in an international collaboration and was recently published in the journal Bioinformatics. The open-source tool is freely available on GitHub.

“We argue that a quick and dirty style of programming is not necessarily bad: the quicker you code, the more scientific ideas you can potentially test and publish. However, if coding quickly means coding sloppily, then bugs, false conclusions, and article retractions may be the result. Furthermore, if your code becomes increasingly complex and messy over time, then adapting it to new tasks will be difficult, potentially stalling your research progress” says Geir Kjetil Sandve, Professor at the Centre for Bioinformatics.

The study was recently published in the popular ten simple rules series of PLOS Computational Biology and can be found here.

“We have developed a large software framework that provides a broad variety of machine learning modules for discovering patterns in immune data. It implements each step of the machine learning process in an extensible, open-source software ecosystem that is based on fully specified and shareable workflows” says Geir Kjetil Sandve, Professor at the Centre for Bioinformatics.

The study was recently made available on BioRxiv preprint server and can be found here.

The study has been a large team effort with contributions from national and international collaborators including the group of Victor Greiff, Associate professor at the Department of Immunology.

“We have succeeded in extracting epigenetic information from scarce DNA from serum archived in the Janus Serum Biobank. This opens up new avenues for what serum banks can be used to achieve” says Trine B Rounge researcher at the Cancer Registry of Norway and Associate Professor at Centre for Bioinformatics.

The study, financed by Norwegian Cancer Society, was recently published in Clinical Epigenetics and can be found here.

In a collaborative national and international effort, the researchers conducted a study to test the feasibility of extracting more information from DNA from the Janus samples than was previously anticipated.