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.

Launched the Pan-Cancer Analysis of Whole Genomes. BU has contributed to this great achievement.

The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium has released the set of publications derived from the analysis of the Whole Genome Sequencing of more than 2,600 cancers of different tumor types. The findings and tools originated…

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!     …

Just presented #Beyondcell at this year's online edition of #BioinfoCAM. It's great to finally have the chance to catch up with the work of other colleagues from the Comunidad de Madrid. Hope next year we can meet in person!

La importancia de los datos y la #AI en el diagnóstico de cáncer. Fátima Al-Shahrour del @CNIOStopCancer en las #JISA2021 #digitalpathology

@falshahrour nos habla sobre las necesidades de la medicina de precisión. Cómo compartir e integrar datos genómicos y clínicos para obtener nuevas conclusiones que mejoren los resultados en salud ❓

▶️ Cuestión de infraestructuras, gobernanza del dato, y nuevos RRHH

#JISA2021

Load More...

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.