We always welcome applications from students looking for experimental and/or bioinformatics master or bachelor projects.

Future cancer care will use mutation analysis of tumour DNA as a tool to match each patient with the best possible treatment. To be able to do this we must improve our understanding of the importance of different mutations. Today, analyses completely focus on the mutations that are relatively easy to interpret, while the so-called "silent" or synonymous mutations, which do not directly alter a protein, are filtered out. Many studies show, however, that also synonymous mutations can be functional through effects on e.g. mRNA splicing and stability or the speed of translation. We study synonymous mutations in breast cancers from several thousand Swedish women to investigate their effects on tumour behaviour with a combination of bioinformatic analyses and functional studies. Through this research we wish to demonstrate that also "silent" mutations are important so that more patients can receive targeted treatment. Hopefully, our work will also lead to the identification of new therapeutic targets and a reevaluation of the standard analysis of sequencing data.