Bioinformatics Core at IBIMA Plataforma BIONAND
The main role of this platform is to provide bioinformatics support to biomedical research groups, addressing both their bioinformatics analysis requirements and the diverse technological needs arising from biomedical research and clinical practice. Our unit places particular emphasis on delivering personalised, continuous support tailored to the specific needs of individual research groups and projects.
Contact
Members (researchers): Andres Gonzalez-Jimenez
Application domain:
Amplicon Sequencing, Analysis packages (R, Python, etc.), Animal genomics, Annotation tools, Artificial Intelligence, Bayesian statistics, Benchmarking, Bioinformatics education, Bioinformatics enabling techniques, Bioinformatics Infrastructure, Bioinformatics Software and Tools, Biological Databases, Biological interpretation, Biomolecular simulation, Biosystems Modeling, Chromatin accessibility, Clinical data, Computational models and simulations, Data Analysis, Data Visualization, Deep Learning in Biology, Desktop application, Development, DNA methylation, Drug Discovery and design, Epigenomics, Experimental design, Experimental structure determination, Expression Profiling, Frequentist analysis, Function prediction, Functional annotation, Functional genomics, Gene regulatory networks, Genome Assembly, Genome Sequencing, Genomic Annotation, Genomics, Integrative Analysis, Knowledge graphs, Large language models, Machine Learning in Biology, Mapping, Metabolic modelling, Metabolite annotation, Metabolite Biomarker Identification, Metabolome profiling, Metabolomics, Metagenomics, Metatranscriptomics, Microbial communities, Molecular flexibility, Multivariate statistics, Natural Language Processing (NLP), Network Biology, Non-parametric statistics, Omics, Pathway analysis, Pathway analysis, Personal medicine, Phosphoproteomics, Population genomics, Proteing-Protein Interactions, Proteomics, Regulatory biology, Resources, RNA Sequencing (RNA-seq), Sequence Alignment, Sequence analysis, Sequence error correction, Single-cell (scRNA-seq), Single-cell omics, Spatial transcriptomics, Statistical Methods for Biology, Structural bioinformatics, Structural genomics, Systems Biology, Text mining, Transcriptomics, Variant calling, Viromics, Web-service, Workflow managers