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.

Predicting isoforms functional importance with TRIFID

We are pleased to announce TRIFID, a Machine Learning-based method for predicting isoform functional importance. The advent of long-read sequencing means that the number of annotated transcripts in reference databases will increase. Therefore,…

Comienza la preinscripción del Máster de Bioinformática aplicada a la Medicina Personalizada y Salud

Desde ahora y hasta septiembre de 2021, abre el periodo de preinscripción para la 5ª Edición del Máster de Bioinformática aplicada a la Medicina Personalizada y la Salud. El máster está organizado por el Instituto de Salud Carlos III…

Just presented #Beyondcell at this year's online edition of #BioinfoCAM. It's great to finally have the chance to catch up with the work of other colleagues from the Comunidad de Madrid. Hope next year we can meet in person!

La importancia de los datos y la #AI en el diagnóstico de cáncer. Fátima Al-Shahrour del @CNIOStopCancer en las #JISA2021 #digitalpathology

@falshahrour nos habla sobre las necesidades de la medicina de precisión. Cómo compartir e integrar datos genómicos y clínicos para obtener nuevas conclusiones que mejoren los resultados en salud ❓

▶️ Cuestión de infraestructuras, gobernanza del dato, y nuevos RRHH

#JISA2021

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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.