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.

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…

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 …

#IRBScience: Researchers led by #ManuelSerrano discover a new method to regulate cell plasticity.🧫

The new method sheds light on processes in which cell plasticity is important, such as cancer and immunology.🦠

Read the news➡️https://t.co/NV0hWzGjrR
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Today starting our master on #bioinformatics on health https://t.co/9LGZr1TdnU

A @SaludISCIII title with @BSC_CNS @CNIOStopCancer @SEBiot_

15th edition with 22 students from math to medicine.

Thanks to my co-organizers: Gonzalo Gómez, Tomás Di Domenico & @falshahrour

New #joboffer for a Software Engineer at the Biocomputing Unit at @InstructI2PC @CNB_CSIC.

ℹ️ https://t.co/0985YAIMeQ

#HPC #sysadmin #computinginfrastructure #scientificsoftware #cloud #opendata #structuralbiology #bioinformatics #hiring

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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.