Computational Biology

New methods of data management, analysis and mathematical modelling are developed to understand how complex biological systems function.

Topics

Computational biology

Mission

Developing analytical and computational methods for the management, integration and mathematical modelling of complex data with the aim to understand the genetic, environmental and ecological mechanisms that influence the functioning of biological systems and their interactions.

Highlights

Sequenziato il genoma del limone varietà “Femminello Siracusano”

Lo studio, realizzato dall’Università di Catania e dalla Fondazione Edmund Mach, è stato pubblicato sulla rivista internazionale Tree Genetics and Genomes

Data di pubblicazione: 20/12/2021

Further details

Innovation and methods

This Unit develops and uses computational tools for the management and analysis of genomic, metagenomic, transcriptomic and metabolomic data.

Facilities

Computational Biology

The Computational Biology platform supports users in defining the experimental design and provides management, analysis and statistical modeling services of high throughput data.

Further details

Sequencing and Genotyping

We provide seamless access to Next Generation Sequencing technologies and high-density SNP array analysis, developing innovative protocols in the agricultural, environmental and food science fields.

Further details