Bioinformatics
The main objective of the Bioinformatics Unit at CNIC is to design and implement the center's scientific computing strategy, providing research staff and technical units with high-performance computing (HPC) infrastructure and cutting-edge algorithmic solutions in the areas of bioinformatics and artificial intelligence, applied to biomedical big data, including omics, clinical, and imaging data.
Along these lines, the services offered by the Bioinformatics Unit are structured in the following areas:
- Omics data analysis
- Array data analysis:
- SNP-array analysis (GWAS, PRS, etc.)
- Methylation array analysis (EWAS, epigenetic age calculation, etc.)
- Quantitative proteomic array analysis (OLINK, SomaScan)
- Next-generation sequencing (NGS) data analysis:
- Identification and annotation of germline mutations from panels, WES and WGS
- Identification and annotation of somatic mutations from panels, WES and WGS
- Bulk RNA-Seq, miRNA-Seq, ATAC-Seq, CHIP-Seq data analysis, etc.
- Single-cell RNA-Seq and single-cell multiomics data analysis
- Aptamer-based proteomics and NGS data analysis (SomaLogic)
- WGBS data analysis
- Flow cytometry (conventional and spectral) and mass cytometry (CyTOF) data analysis.
- Array data analysis:
- Clinical data analysis:
- Biostatistical analysis
- Clinical data integration and standardization (OMOP)
- Image data analysis:
- Microscopy image analysis and High Content Screening (HCS)
- Biomedical image analysis in animal and human models (MRI, PET, CT, US, etc.)
- Natural language processing:
- Use of AI algorithms for text extraction and structuring from images
- Protein structure modeling using AI algorithms and virtual screening
- Pipeline and application development
All statistical methods and tools developed by the Bioinformatics Unit can be found at: https://bioinfo.cnic.es/Apps
