I am a computational biologist with background in biotechnology, interested in computational and experimental (epi)genomics. I lead a research group studying how co- and post- transcriptional events shape gene expression programs, through an interdisciplinary approach combining cutting edge experimental and computational methods (https://www.iit.it/it/web/genomic-science/pelizzola).
People
People is a section of the IIT website where you can get in touch with all the scientific, technical, and administrative staff of IIT, thus having the opportunity to know what are the professional skills within the Foundation
Research center
CGS@SEMM
Informazioni su
Education
Title: PhD in Complexity in Post-Genomic Biology
Institute: University of Torino
Location: Torino
Country: Italy
From: 2004 To: 2006
Title: Master in Bioinformatics
Institute: Milano-Bicocca University
Location: Milano
Country: Italy
From: 2002 To: 2003
Title: Master’s degree in Industrial Biotechnologies
Institute: Milano-Bicocca University
Location: Milano
Country: Italy
From: 1995 To: 2001
Experience External
Title: Postdoctoral Research Associate
Institute: Salk Institute for Biological Science
Location: La Jolla, CA
Country: USA
From: 2009 To: 2011
Title: Postdoctoral Research Associate
Institute: Yale University
Location: New Haven , CT
Country: USA
From: 2007 To: 2009
Top Publications
2020
Furlan M., de Pretis S., Pelizzola M.
Dynamics of transcriptional and post-transcriptional regulation
Briefings in Bioinformatics
2020
Furlan M., Galeota E., Del Gaudio N., Dassi E., Caselle M., de Pretis S., Pelizzola M.
Genome-wide dynamics of RNA synthesis, processing and degradation without RNA metabolic labeling
Genome Research
2017
De Pretis S., Kress T.R., Morelli M.J., Sabo A., Locarno C., Verrecchia A., Doni M., Campaner S., Amati B., Pelizzola M.
Integrative analysis of RNA polymerase II and transcriptional dynamics upon MYC activation
Genome Research, vol. 27, (no. 10), pp. 1658-1664
2017
Galeota E., Pelizzola M.
Ontology-based annotations and semantic relations in large-scale (epi)genomics data
Briefings in Bioinformatics, vol. 18, (no. 3), pp. 403-412
2015
De Pretis S., Kress T., Morelli M.J., Melloni G.E.M., Riva L., Amati B., Pelizzola M.
INSPEcT: A computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments
Bioinformatics, vol. 31, (no. 17), pp. 2829-2835
All Publications
2021
Furlan M., Delgado-Tejedor A., Mulroney L., Pelizzola M., Novoa E.M., Leonardi T.
Computational methods for RNA modification detection from nanopore direct RNA sequencing data
RNA Biology
2021
de Pretis S., Furlan M., Pelizzola M.
Identification of Genes Post-Transcriptionally Regulated from RNA-seq: The Case Study of Liver Hepatocellular Carcinoma
Methods in molecular biology (Clifton, N.J.), vol. 2284, pp. 271-287
2021
Leone M., Galeota E., Masseroli M., Pelizzola M.
Identification, semantic annotation and comparison of combinations of functional elements in multiple biological conditions
Bioinformatics
2021
Ianniello Z., Sorci M., Ginistrelli L.C., Iaiza A., Marchioni M., Tito C., Capuano E., Masciarelli S., Ottone T., Attrotto C., Rizzo M., Franceschini L., de Pretis S., Voso M.T., Pelizzola M., Fazi F., Fatica A.
New insight into the catalytic -dependent and -independent roles of METTL3 in sustaining aberrant translation in chronic myeloid leukemia
Cell Death & Disease
2021
Biasini A., Abdulkarim B., de Pretis S., Tan J.Y., Arora R., Wischnewski H., Dreos R., Pelizzola M., Ciaudo C., Marques A.C.
Translation is required for miRNA-dependent decay of endogenous transcripts
EMBO Journal, vol. 40, (no. 3)
Colleagues of Genomic Science
FOR FORMER IIT PEOPLE
Your profile will remain on People for a period of 5 years from the termination of your relationship with IIT.
If you do not wish to appear in People, you can contact the IIT Data Protection Officer (whose references can be found in the Privacy section of the website) to request the removal of your profile.