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…

#NoticiasCNIO | Investigadores del CNIO descubren una tecnología rápida y sencilla para conseguir células madre más eficientes en medicina regenerativa @embojournal

II Beca de #CienciaDatosMPP
🏅3 becas como ayuda económica para cubrir gastos de matrícula para la realización de
👩‍🎓Máster en el área de Ciencia de Datos en Medicina Personalizada de Precisión
🗓️Hasta el 31 de julio
Más información e inscripciones:

Happy to share this announcement!

@ECCB2020 opens registration including the students' symposium @ESCS2020 and the "New Trends in Bioinformatics by ECCB" a new format for virtual workshops and tutorials the week before the main conference!

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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.