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…

¡Tiene hasta el 31 de julio 2020 para participar en la beca de ayuda a la formación en el área de #CienciaDatosMPP! Si quieres conocer cuál debe ser el perfil de los solicitantes y cómo presentar la candidatura visita: https://t.co/KO0EL5UN4C ¡No dejes pasar está oportunidad!

Do you want to learn how to prepare, design and deliver high-impact scientific presentations?

Register to this @Bioinfo4women tutorial delivered by @performingideas at the @ECCB2020 on August 31st.

More information 👉 https://t.co/Gjuu0bPwWF
#bioinformatics #empoweringwomen

Looking for a #job or a #Postdoc position in the #bioinformatics sector?
INB/ELIXIR-ES jobs board is plenty of exciting opportunities for you 👉 https://t.co/JmOmaJylaM

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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.