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.

Arranca la edición 2020-2021 del Máster de Bioinformática aplicada a la Medicina Personalizada y Salud.

A pesar de la pandemia de COVID-19, el pasado lunes arrancó un año más este título propio de la Escuela Nacional de Sanidad (ENS) del Instituto Carlos III de Madrid (ISCIII), codirigido por la doctora Fátima Al-Shahrour, jefa de la Unidad…

DREIMT: exploring the druggable immune system

We are pleased to announce the publication of DREIMT: a bioinformatics tool for hypothesis generation and prioritization of drugs capable of modulating immune cells activity. At this moment, DREIMT integrates 4690 drug profiles from The Library…

Ya está abierto el plazo de preinscripción para la "5ª Edición del Máster de Bioinformática aplicada a la Medicina Personalizada y la Salud". Organizan @SaludISCIII @CNIO_Cancer @BSC_CNS @SEBiot_ Puedes preinscribirte en http://masterbioinformatica.com
🖥️🧬👩‍💻👨‍💻

Our Cell-ID method for gene signature extraction at individual cell level from #SingleCell sequencing data is now published as an Article at @NatureBiotech @SpringerNature
https://www.nature.com/articles/s41587-021-00896-6

Today we celebrate the thesis of Elena Piñeiro!! 🍾🥳🧬💊💻 Thank you Elena for all your work and effort during these years 😊 Thank you for your friendship and for being so generous and collaborative in the daily research at @BU_CNIO. Congrats Dra. Piñeiro!!

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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.