CNIO Bioinformatics Unit

Welcome to the CNIO Bioinformatics Unit website!

Our group has a double component of bioinformatics support to Spanish National Cancer Research Centre (CNIO) and external investigators and research in bioinformatics. Lab research activity is focused on the development of novel computational techniques for the integration of cancer genomic data with clinical and pathological features. Our final goal is to translate this knowledge from cancer genome-scale studies to effective cancer patient’s treatment.

CNIO "La Caixa" Frontiers Meeting: Heterogeneity and evolution in cancer

- REGISTRATION OPEN - Cancers are dynamical and heterogeneous biological processes. Heterogeneity and evolution are the main factors driving oncogenesis, growth, invasion and failure of therapy. Longitudinal, multi-sampling and single cell…

PanDrugs article has been published in Genome Medicine!

We are proud to announce that PanDrugs paper has been published in Genome Medicine today. The article can be accessed here. We want to thank all BU staff, SING group and all our collaborators for making it possible!     …

Looking for a #PostDoc?
Apply before 30 Sept to @BSC_CNS STARS programme

3 positions available in the Life Sciences department:
✅ Computational Biology group of @Alfons_Valencia
✅ Comparative Genomics group of @toni_gabaldon
✅ Text Mining unit of @MKrallinger

More info 👇 https://t.co/syOGkJ19qT

Our new article is out! @Cancers_MDPI ---> In Silico Drug Prescription for Targeting Cancer Patient Heterogeneity and Prediction of Clinical Outcome: https://t.co/K3iZwHlSjh

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Glad to share our new work in collaboration with @Yardena. Novel experimental+computational analyses in melanoma uncouple the effects of tumor heterogeneity and mutation burden on immune response, and predict outcomes of patients treated with ICB. https://t.co/ANPB0K0425

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OPEN POSITIONS

We are always open to motivated and talented postdoctoral candidates, graduate students and summer rotation students in areas of computational biology, and medicine or molecular biology applicants with an interest in computational biology.

For questions regarding available training opportunities, please contact us.