The analysis of the omic data are carried out in the bioinformatics service and includes primary analysis, together with the preparation of FASTQ files, Excel files with quantification and advanced statistical analysis, heat-map representations, description of protein functions, and the genes (Gene Ontology) of the pathways involved (interactomes, SYNGO, Ingenuity and KEGG pathway analyses).

Driven by advances in unsupervised AI methods applied to omic data mining, the service provides help and advice to researchers. When the data requires it, ad-hoc software is implemented with the aim of computational biology analysis and graph generation to interpret the data and facilitate its publication in high-impact journals.

Likewise, the use of other artificial intelligence tools makes it possible to take greater advantage of the analysis of functional data and/or the treatment of histological images. Thus, this service provides support to researchers for the analysis of images obtained by various types of high-resolution microscopy, as well as networks after performing functional experiments (e.g. fMRI, calcium imaging and electrophysiology).