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.

Harnessing miR-203 to enhance pluripotent stem cells differentiation

Pluripotent stem cells (PSCs) are a promising tool for regenerative medicine, given their self-renewal potential and ability to differentiate into multiple cell lineages. However, the differentiation capacity of PSCs frequently decreases during …

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…

En el #8Marzo2021, os deseamos un feliz Día de la Mujer con una imagen de algunas de las mujeres trabajadoras en el CNIO.

Nuestra Oficina de la Mujer en Ciencia (#CNIOWISE) trabaja por derribar las barreras que aún impiden la igualdad real 👉

Two openings in my group (

We are seeking two bioinformaticians, one will be 100% BLIC and the other one will be split with @Parrinello_lab. Open until 17th March:

@uclcancer @UCL_CI_Postdocs

Please RT


🗓️ #AgendaISCIII

El #ISCIII celebra el 10 de marzo una jornada informativa sobre Infraestructuras de Investigación en Ciencias Biomédicas, que podrá seguirse en abierto previo registro desde el canal de Youtube del Instituto.

💻 Programa y registro ➡️

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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.