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Research Group

Detalle de: Computational Biomedicine and Health Data Science

Title Computational Biomedicine and Health Data Science
Description

Durante la última década, la Bioinformática se ha convertido en un campo multidisciplinario que integra avances en la tecnología de la información y la informática aplicada a la Biotecnología y Ciencias Biológicas. En este contexto, la unidad de Bioinformática responde a las necesidades relacionadas con el análisis de datos, la gestión, la integración y la visualización del conocimiento.

Home Page http://bioinfo.ipb.csic.es
Contact Email eduardo.andres@csic.es
Collaborating Companies
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Patents
Hpc Resources In house
Institution IPBLN
Ontology Omics, Computational Methods, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Artificial Intelligence, Machine Learning in Biology, Bioinformatics Software and Tools, Annotation tools, Analysis packages (R, Python, etc.), Data Visualization, Applications of Computational Biology, Model organisms, Bioinformatics enabling techniques, Genomics, Genome Assembly, Functional genomics, Bioinformatics Infrastructure, Biological Databases, Expression Profiling, Computational Techniques, High-performance Computing, Parallel Computing, Personal medicine, Genomic Annotation, Variant calling, Epigenomics, DNA methylation, 3D chromatin structure, Containers Computing, Statistical Methods for Biology, Web-service, Bioinformatics education, Workflow managers, Sequence analysis, Sequence Alignment, Experimental design, Mapping, Pathway analysis, Multivariate statistics, Single-cell omics, Single-cell (scRNA-seq), Microbial communities, Metagenomics, Cloud Computing, Amplicon Sequencing, Clinical data, Spatial transcriptomics, Metatranscriptomics, Viromics
Tools miARma-Seq, miRGate, reanalyzerGSE
Service Units Computational Biology and Bioinformatics Unit at IPBLN
Research Lines Application of Machine Learning for Cancer Biomarker Discovery, Development of Computational Tools for Spatial Transcriptomics Data Analysis, Application of Deep Learning to Biomedical Image Analysis
Funded Projects Implementación de tecnologías de transcriptómica espacial de resolución celular con aplicación biosanitaria y desarrollo de métodos coordinados de análisis bioinformáticos estandarizados, Development of HPC and AI-Based Tools for Large-Scale Spatial Transcriptomics and Single-Cell Data Integration
Selected Publications
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Researchers Eduardo Andrés-León, Marco Apolo Pulpillo Berrocal

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