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Computational Biology - Tecnun

WEB DEL GRUPO

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The Computational Biology group has long term experience in the development of optimization algorithms and statistical analysis. Our expertise is specifically focused in machine and deep learning with applications in human health and disease through data of high molecular resolution (genomics, transcriptomics, proteomics, metalobolomics,...) and biological databases (genomics, pharmacology, metabolism,...).

The main lines of research are:

• Metabolic reprogramming in cancer in order to identify novel therapeutic targets and response markers.
• Integration of massive gene silencing experiments and drugs in the framework of precision oncology.
• Alternative splicing in different types of cancers: modifications, causes and effects.
• Predictive models for assessing drugs induced toxicity in human organs based on their structural features.
• Data analysis of genomic DNA.
• New methodologies to identify germline pathogenic variants in patients with cancer.
• Inference of gene regulatory network from RNA  sequencing data
• HERV (human endogenous retroviruses) characterization in human tissues and cancer cells.
• Compression techniques
• Personalized and Precision Medicine

 

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MIEMBROS ASOCIADOS

 

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Apaolaza Emparanza, Íñigo

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Líneas de investigación:
· Systems Biology
· Metabolism

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Carazo Melo, Fernando
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Líneas de investigación:
· Precision Medicine
· Cancer Genomics
· Computational Biology
· Biomedical Big Data Science

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Ochoa Álvarez, Idoia
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Líneas de investigación:
· Bioinformatics
· Compression

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Planes Pedreño, Francisco
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Líneas de investigación:
· Personalized medicine
· Analysis of biomedical data

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Aplicaciones anidadas

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Rubio Díaz-Cordovés, Ángel
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Líneas de investigación:
· Personalized medicine
· Analysis of biomedical data