The research activity will focus on the development of a systems biology based approach for the integrative analysis of genomics, epigenomics and transcriptomics data 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 have the opportunity to develop skills in the integrative analysis of multiple omics, network biology and software development. Moreover, she/he will have the opportunity to work on other projects, including single-cell data analysis.

The fellowship will be assigned by means of an open competitive exam.
Please see the CNR URP at URL https://bandi.urp.cnr.it/assegni/faces/pubblica/RisultatoCercaAssegniPubblica.jsp
Codice Bando: ITB-015-2020-MI-Prot 0069863
Avviso di selezione: n. 15/2020/ITB/MI/ASS/A
Deadline: 20/11/2020

CNR-ITB is located at Segrate (Milan), next to MM2 Cascina Gobba.

References
- 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