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Research Group

Detalle de: Bioinformatics and Computational Biology in Cancer Evolution

Title Bioinformatics and Computational Biology in Cancer Evolution
Description

Bioinformatics and computational biology: development and implementation of methods for the analysis of high-throughput data, mainly in evolutionary biology of cancer

Home Page https://www.csic.es/en/investigation/research-at-csic/research-groups/bioinformatics-and-computational-biology-cancer-evolution
Contact Email r.diaz@uam.es
Collaborating Companies
Spin Off
Patents
Hpc Resources
Institution IIBM
Ontology Omics, Computational Methods, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Artificial Intelligence, Machine Learning in Biology, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Applications of Computational Biology, Bioinformatics enabling techniques, Benchmarking, Large language models, Computational models and simulations, Computational Techniques, High-performance Computing, Parallel Computing, Containers Computing, Statistical Methods for Biology, Web-service, Molecular evolution, Evolutionary modelling, Sequence analysis, Sequence Alignment, Phylogenetic Analysis, Mapping, Deep Learning in Biology, Clinical data
Tools Pomelo2, Tnasas, SignS, GeneSrF, EvAM-Tools
Service Units
Research Lines Computational methods for cancer evolution
Funded Projects
Selected Publications
View all (52 more)
Researchers Ramon Díaz Uriarte

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