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…

#IMPaCTdata publica sus recomendaciones sobre datos y software (feb 2023, v2.0)

Recomendaciones del programa de Ciencia de Datos de #IMPaCT referente a la estandarización de datos biomédicos para facilitar su interoperabilidad, acceso y gobernanza.


Buscamos a una/un candidata/o con Máster en Bioinformática para pedir un contrato PFIS para desarrollar métodos bioinformáticos para priorizar genes y variantes asociadas a enfermedades raras. Contactadme al mail con CV. Gracias! Mas info:

#worldcancerday is today, celebrating each step toward fewer preventable deaths and improved quality of life for patients. EU project @EOSC4Cancer is expediting progress, making various types of #cancerdata accessible across borders to support research.

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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.