In particular, the program will focus on the development of a systems biology based approach. We will analyze different types of omics data in the context of genome-scale biological networks to infer modules of interacting genes underlying disease activity, suitable to be used as a more reproducible set of predictive variables.
The research fellow will develop skills in the integrative analysis of multiple omics, in network biology and in software development. Moreover, she/he will have the opportunity to work on other projects involving single-cell data analysis.
The research fellow will be assigned by means of a public open competition. Please see the CNR URP at URL https://bandi.urp.cnr.it/assegni/faces/pubblica/RisultatoCercaAssegniPubblica.jsp Codice Bando ITB-010-2020-MI-Prot 0058877, scadenza: 19/10/2020
CNR-ITB is located at Segrate (Milan), next to MM2 Cascina Gobba.
- Di Nanni N, et al. Gene relevance based on multiple evidences in complex networks. Bioinformatics 2019. doi: 10.1093/bioinformatics/btz652.
- Bersanelli M, et al. Network diffusion-based analysis of high-throughput data for the detection of differentially enriched modules. Scientific Reports. 2016. doi: 10.1038/srep34841.
- Bersanelli M, et al., Methods for the integration of multi-omics data: mathematical aspects. BMC Bioinformatics, 2016. doi: 10.1186/s12859-015-0857-9