Welcome!

This is the web page of our laboratory, a.k.a. Cancer Genomics and Bioinformatics.The lab has been established in 2019 @ the Italian Institute for Genomic Medicine (IIGM), located within the Candiolo Cancer Institute FPO IRCCS (IT).

Artenatively have a look here: C.G.B. @ IIGM


What do we do?

The lab follows three main directions

Alternative splicing

Deciphering splicing regulation in disease

Cancer evolution

Assessing tumor genetics and evolution to faster precision oncology

Data Science

Designing novel algorithms to gain information from genomic Big Data


The future is unwritten 


Joe Strummer, songwriter

 Lab team

1

Marco

Physicist, Ph.D.

1

Serena

Physicist, Ph.D. Student

1

Livia

Biologist, Senior Scientist

1

Francesca

Mathematical Engineer, Ph.D. Student

1

Sarah

Physicist, Ph.D. Student

1

Alberto

Mathematician, research fellow

 Our News

The C.G.B. highlights

covid

Artificial Intelligence in bulk and single-cell RNA-seq: where are we?

Here our review on learning approaches for the analysis of large-scale RNA-sequencing datasets in cancer.
We present the major solutions to disentangle tumor heterogeneity of transcriptome profiles for an effective improvement of patient management, check it out!

covid

We are contributing to the monitoiring of the SARS-CoV-2 evolution in Italy

Together with FPO-IRCCS Candiolo units, we are actively monitoring the evolution of SARS-CoV-2 in Piedmont, Italy. The lab is mapping the virus lineages that are circulating in the region.

Here some updates!

NAR GSECA

'Less is more', our paradigm shift in gene set analysis is out!

We introduced a probabilistic modelling, namely GSECA, to identify altered biological process relevant for complex phenotypes from heterogeneous high-volume RNA-seq data.

Have a look at our pancancer analysis of PTEN loss and its role in modulating immune-related processes across cancer types!

Funding Agencies 


All our research efforts are possible thanks to the support of the following agencies: