The Computational Biology platform supports users in defining the experimental design and provides management, analysis and statistical modeling services of high throughput data.
The MACHINA HPC cluster includes 376 cores equipped with 7631,9 GB of RAM distributed on 21 blades and more than 100 TB of storage. MACHINA includes both GPU nodes and nodes with 2TB of RAM, allowing a large spectrum of applications from Machine Learning to the assembly of complex genomes
Services
Genomics and metagenomics
Genome assembly and annotation
Development of genotyping arrays (Illumina/Affymetrix)
Resequencing data analysis (SNP discovery, GBS, SPET, comparativa)
Analysis of amplicon metagenomic data (16S, ITS)
Assembly and annotation of shotgun metagenomic data
Transriptomics
Transcriptomic assembly and functional annotation
Differential expression analysis
Functional enrichment analysis
Unsupervised analysis (clustering, PCA)
Metabolomics
Pre-processing of targeted and untargeted metabolomics datasets (NMR and LC-MS)
Applications
Agriculture
Genomics of plants, insects, fungi, bacteria and viruses
Gene expression analysis in biotic or abiotic stress
Plant-pathogen interactions
Support to marker assisted breeding
Biodiversity analysis
Analysis of microbial communities
Genomic variability of natural populations
Agrifood
Metagenomic and metabolomic analysis of fermented products
Traceability
Food security and quality
Host-associated microbiomes (human, animal or plants)
