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Published June 16, 2021 10:48 AM

“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.

Published June 16, 2021 10:32 AM

“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.

Published June 16, 2021 9:33 AM

“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.