Short Biography

Education

2012 Degree in Telecommunication Engineering at University of Rome “Sapienza” 2013 - 2015 Research fellowship at Institute of Food Sciences, National Research Council of Italy (Avellino) 2015 - 2019 Ph.D. in Applied Biology at University of Basilicata (Potenza, Italy) 2017 (4 months) Visiting Ph.D. Student at Computer Laboratory, University of Cambridge (UK) 2018 (4 months) Visiting Ph.D. Student at Computer Laboratory, University of Cambridge (UK) 2019 - 2021 Research fellowship at Institute of Applied Mathematics, National Research Council of Italy (Napoli) 2022 - ongoing Term contract as Biostatistician and Data Analyst at Bioinformatics Core

Technical Skills

Development of pipeline for importing, filtering, analyzing, and visualizing biological data Descriptive - inferential - predictive statistical analysis of biological data Multiomics data evaluation, integration, and analysis Application of enrichment - pathway - network analysis, and semantic similarity on biological data Study of pathogenesis, epidemiology, and metabolism of celiac disease and comorbidities Application of machine learning algorithms on structural and functional protein features Biological data retrieval, organization, and evaluation from online repositories Application of information theory and inferential statistics on biological sequences Training in (bio)informatics and (bio)statistics

Publications

A. Marabotti, E. Del Prete, B. Scafuri, A. Facchiano, “Performance of Web tools for predicting changes in protein stability caused by mutations”, BMC Bioinformatics, 22, 345, https://doi.org/10.1186/s12859-021-04238-w, 2021 E. Del Prete, A. Facchiano, A. Profumo, C. Angelini, P. Romano, “GeenaR: a web tool for reproducible MALDI-TOF analysis”, Front. Genet., 12, 401, https://doi.org/10.3389/fgene.2021.635814, 2021 S. Terreri, S. Mancinelli, ..., E. Del Prete et al. “Subcellular Localization of uc.8+ as a Prognostic Biomarker in Bladder Cancer Tissue”, Cancer, 13, 681, https://doi.org/10.3390/cancers13040681, 2021 E. Del Prete, A. Facchiano, P. Liò, “Bioinformatics methodologies for coeliac disease and its comorbidities”, Briefings in Bioinformatics, 21, 1, 355–367, https://doi.org/10.1093/bib/bby109, 2020 E. Del Prete, D. d'Esposito, M.F. Mazzeo, R.A. Siciliano, A. Facchiano, “Comparative analysis of MALDI-TOF mass spectrometric data in proteomics: a case study”, Lecture Notes in Computer Sciences, 2016, 9874, pp. 154-164, ISBN 978-3-319-44331-7 E. Del Prete, S. Dotolo, A. Marabotti, A.Facchiano, “Statistical analysis of protein structural features: relationships and PCA grouping”, Lecture Notes in Computer Sciences, 2015, 8623, pp. 33-43, ISBN 978-3-319-24461-7 E. Del Prete, S. Dotolo, A. Marabotti, A. Facchiano, “Basic exploratory proteins analysis with statistical methods applied on structural features”, In “Mathematical Models in Biology. Bringing Mathematics to Life”, V. Zazzu, M.B. Ferraro, M.R. Guarracino (Eds.) 2015, Springer International Publishing Switzerland, ISBN 978-3-319-23497-7