Staff

Marco Severgnini

Primo Ricercatore
E-Mail

marco.severgnini@cnr.it

PHONE

+390226422705

LOCATION

Segrate

ROOM (floor/number)

7/25

I am a researcher in the field of “-omics” technologies and bioinformatics. During my tenure at ITB-CNR, I was involved in the bioinformatic analysis of genomic and transcriptomic data from many projects. After spending the first six years applying my skills to microarray-derived data, from 2008 onwards I began working on next-generation sequencing data, on Roche and Illumina sequencing platforms and, more recently, on the Oxford Nanopore long-read technology. In particular, I have been involved in the data analysis of several projects aimed at characterizing bacterial diversity in complex ecosystems, such as the human- and the animal- microbiota. I am also actively involved in the characterization of complex genomic and transcriptomic rearrangements in tumors (fusion genes, transcripts, circRNAs, neocentromeres, dmin-HSR). I have acquired in-depth knowledge of the main bioinformatics tools for the taxonomic and functional profiling of microbiota data and for the detection of chromosomal rearrangements, as well as statistical software (e.g., Matlab), Unix-like operating systems, and the Perl language. I am able to implement custom pipelines for bioinformatics analyses. My current scientific collaborations include several colleagues at the ITB-CNR, as well as other CNR institutes (e.g., IBBA, ISPA, STIIMA), and external institutions (ASST Vimercate, Policlinico di Milano, University of Bologna, University of Milan, University of Pavia).

Analysis of genome plasticity and structural genomics for characterization of extrachromosomal DNA markers and complex genomic rearrangements in cancer cells

Analysis of transcriptome plasticity in cancer cells and characterization of fusion transcripts and circular RNAs

Study of the microbiome in the onset of complex diseases

Study of the microbiota-host-exposome interactions to elucidate how microbial dynamics and metabolite profiles influence host physiology and disease mechanisms

Study of animal- and food-associated microbiome for safety, biodiversity conservation and improvement of animal performances

Development, application and optimization of automated pipelines for the analysis of genomics, epigenomics and transcriptomics data for large-scale studies.