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!     …

¡Podrías ser el ganador de una de las 3 becas que otorgamos como ayuda económica para cubrir los gastos de matrícula para la realización de un máster en #CienciaDatosMPP! Tienes hasta el 30 de junio para presentar tu candidatura. Consulta las bases en:

¿Estas interesado en realizar un master en #CienciaDatos? Nosotros te ayudamos con la III beca de #CienciaDatosMPP
🏅3 becas como ayuda económica para cubrir gastos de matrícula
🗓️Hasta el 30 de junio
Más información e inscripciones:

Quieres estudiar bioinformática? Aún estas a tiempo!⌛️ ⏩Últimas plazas disponibles del Máster de Bioinformática aplicada a la Medicina Personalizada y la Salud.
👉🏼Organizan @SaludISCIII @CNIOStopCancer @BSC_CNS @SEBiot_
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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.