Ettore Mosca

The information published in this page are entirely managed by ETTORE MOSCA who is completely responsible for it.

Ettore Mosca is a researcher at the CNR-ITB Bioinfomatics Lab. Biotechnologist and Bioinformatician by training, EM has a PhD in Computer Science. His activity is mainly focused on the analysis of molecular data at "omics" scale with the aim of identifying the disfunctional mechanisms responsible for human pathologies and contributing to the implementation of precision medicine. In particular, EM analyzes molecular data by integrating them with existing information on the interactome, i.e., taking into account the relationships between molecular entities on a cellular scale. In this field, EM develops innovative analysis tools of descriptive and predictive type, integrating knowledge on the organization of biological networks, on the properties of complex systems, on network analysis, on global optimization, and on statistics for omics data. Furthermore, EM develops bioinformatics pipelines for the elaboration of raw omics data generated by sequencing, microarrays and mass spectrometry. EM has participated in national and European projects for the study of human pathologies, mainly breast cancer, autism and multiple sclerosis.

Other publication name:

Mosca, Ettore; Mosca, E.

Interest areas:

Bioinformatics. Systems Biology. Complex network analysis. Omics Data Analysis. Data Integration. Genetics. Molecular Biology.


Contacts

Phone: 0226422614

International Ids

Scopus Author ID: 23478332900
WoS Researcher ID: D-6275-2017
Research Gate: Ettore_Mosca
Google Scholar: 2AR93bMAAAAJ

H-indexes

Google Scholar H-Index: 14
Scopus H-Index: 12
ISI-WoS H-Index: 11

Education

Dottorato di Ricerca in Informatica
Università degli Studi di Milano - Bicocca

Laurea Magistrale in Bioinformatica
Università degli Studi di Milano - Bicocca

Laurea Triennale in Biotecnologie Molecolari
Università degli Studi di Milano - Bicocca


Research activities classification (ERC)

BIOINFORMATICS
BIOLOGICAL SYSTEMS ANALYSIS, MODELLING AND SIMULATION
COMPUTATIONAL BIOLOGY
GENETICS, GENOMICS, BIOINFORMATICS AND SYSTEMS BIOLOGY: GENETICS, POPULATION GENETICS, MOLECULAR GENETICS, GENOMICS, TRANSCRIPTOMICS, PROTEOMICS, METABOLOMICS, BIOINFORMATICS, COMPUTATIONAL BIOLOGY, BIOSTATISTICS, BIOLOGICAL MODELLING AND SIMULATION, SYSTEMS BIOLOGY, GENETIC EPIDEMIOLOGY
GENOMICS, COMPARATIVE GENOMICS, FUNCTIONAL GENOMICS
PROTEOMICS
SYSTEMS BIOLOGY
TRANSCRIPTOMICS

Skills

ALGORITMI PER L'OTTIMIZZAZIONE GLOBALE CONTINUA VINCOLATA E NON VINCOLATA
BIOINFORMATICA
BIOINFORMATICA: CONSULTAZIONE DI BANCHE DATI DI ANNOTAZIONE E PREDIZIONE PER DNA, RNA, MIRNA E COMPOSTI CHIMICI.
BIOLOGIA COMPUTAZIONALE
BIOLOGIA MOLECOLARE E BIOINFORMATICA: BANCHE DATI BIOLOGICHE E ALGORITMI PER L'ANALISI DI DATI MOLECOLARI, ANALISI FUNZIONALI PER LO STUDIO DEI MECCANISMI DI REGOLAZIONE GENICA POST-TRASCRIZIONALE, ANALISI DI DATI DI TRASCRITTOMICA, INTERAZIONI MOLECOLARI E NETWORK DI REGOLAZIONE GENICA
IDENTIFICAZIONE E STIMA PARAMETRICA DI SISTEMI BIOLOGICI
SYSTEM BIOLOGY
SYSTEMS BIOLOGY

Research products

Bersanelli M.; Mosca E.; Milanesi L.; Bazzani A.; Castellani G.

Frailness and resilience of gene networks predicted by detection of co-occurring mutations via a stochastic perturbative approach

(2020) in Scientific reports (Nature Publishing Group)
Di Nanni N.; Gnocchi M.; Moscatelli M.; Milanesi L.; Mosca E.

Gene relevance based on multiple evidences in complex networks

(2020) in Bioinformatics (Oxf., Online)
Francesca Anna Cupaioli1, Ettore Mosca 1, Chiara Magri 2, Massimo Gennarelli2,3, Marco Moscatelli1, Maria elisabetta Raggi4, Martina Landini1, Nadia Galluccio 1, Laura Villa4, Arianna Bonfanti4, Alessandra Renieri5,6, Chiara fallerini5, Alessandra Minelli2, Anna Marabotti 7, Luciano Milanesi 1, Alessio fasano 8,9 & Alessandra Mezzelani 1 ?

Assessment of haptoglobin alleles in autism spectrum disorders

(2020) in Scientific report (Camb. Res. Inst. (G.B.))
Italiani, Paola; Mosca, Ettore; Della Camera, Giacomo; Melillo, Daniela; Migliorini, Paola; Milanesi, Luciano; Boraschi, Diana

Profiling the Course of Resolving vs. Persistent Inflammation in Human Monocytes: The Role of IL-1 Family Molecules

(2020) in Frontiers in immunology
Cupaioli FA, Di Nanni N, Pelucchi P, Cifola I, Villa L, Raggi ME, Milanesi L, Mosca M, Mezzelani A

Linked read sequencing reveals new genetic variants in autism

(2020) Neurogenetics, Nature Conferences, Virtual (Covid19), 29/07/2020
F.A. Cupaioli1, E Mosca1, N. Di Nanni1, P. Pelucchi1, L. Milanesi1, M.E. Raggi2, M.L. Villa2, A. Mezzelani1

Linked-read whole genome sequencing reveals undetected variants in autism spectrum disorder

(2020) European Human Genetics Virtual Conference ESHG 2020.2, JUNE 6-9, 2020
F.A. Cupaioli, E. Mosca, N. Di Nanni, P. Pelucchi, L. Milanesi, M.E. Raggi, L. Villa, A. Mezzelani

Autism Spectrum Disorder: Linked-Read Sequencing Reveals New and Undetected Variants

(2020) EPTRI (European Paediatric Translational Research Infrastructure) open meeting 2020, virtual meeting, 02/04/2020 - 03/04/2020
Mezzelani, A.; Cupaioli, F. A.; Mosca, E.; Magri, C.; Gennarelli, M.; Raggi, M. E.; Landini, M.; Galluccio, N.; Chiappori, F.; Moscatelli, M.; Gnocchi, M.; Villa, C.; Molteni, M.; Bonfanti, A.; Ciceri, F.; Marabotti, A.; Milanesi, L.

Association of Haptoglobin-1 allele with Autism

(2019) in European journal of human genetics
Andolfo, Annapaola; Drago, Denise; Cucchiara, Vito; Nocera, Luigi; Mosca, Ettore; Orro, Alessandro; Bellone, Matteo; Montorsi, Francesco; Briganti, Alberto

DEVELOPMENT AND VALIDATION OF A NOVEL EPS-METABOLOMIC SIGNATURE FOR THE DIAGNOSIS OF CLINICALLY SIGNIFICANT PROSTATE CANCER.

(2019) in The Journal of urology
Di Nanni, Noemi; Bersanelli, Matteo; Cupaioli, Francesca Anna; Milanesi, Luciano; Mezzelani, Alessandra; Mosca, Ettore

Network-Based Integrative Analysis of Genomics, Epigenomics and Transcriptomics in Autism Spectrum Disorders

(2019) in International journal of molecular sciences (Online)
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