Angela Re



  • PhD in Complex Systems Applied to Biology, Turin University, Turin (Italy), 2004-2007
  • Master Degree in Environmental and Biomedical Physics, Turin University, Turin (Italy), 2002-2004
  • Bachelor Degree in Physics, Turin University, Turin (Italy), 1999-2002


  • Lagrange Research Scholarship recipient, Member of the Employers’ Association of Turin


  • Post-doctoral Fellowship financed by EU Framework Programme FP7 – People Activity, 2010-Present
    Centre for Biological Sequence Analysis (Copenhagen) and Centre for Integrative Biology (Trento)
    • Handled high-complexity data from diverse high-throughput genomic technologies
    • Applied integrative and modeling approaches to the rationalization of quantitative data within statistics, probability and network frameworks
    • Designed biological data resources and performed related data quality and standardization analysis
    • Used attention to statistical issues and details in health studies
    • Provided solid statistical support in cross-disciplinary collaborations for study design and data interpretation
    • Instructed junior members of the laboratory, gave courses to Bachelor Degree students majoring in Biotechnologies
    • Proactively participated in cancer awareness campaigns 
    • Coordinated analysis plans and reports, playing pivotal role within the project team
    • Did medical writing and data management
  • Postdoctoral fellowship financed by the Province of Trento, 2007-2010
    Centre for Integrative Biology, Trento University, Trento
    • Developed statistical and analytical methods for processing and interpreting genome-scale multi-platform datasets spanning basic and cancer-related applications
    • Acquired proficiency in semantic integration of in silico and experimental biology data
    • Designed two informational resources
    • Programmed in Unix/Linux workstations and integrated existing bioinformatics tools in analytical workflows under Linux/Windows environments
    • Trained  Bachelor Degree students majoring in Computer Science
    • Organized biannual schools on systems biology and computational biology
    • Developed and edited documents within collaborative projects
    • Disseminated research results through scientific publications, networking and conferences


  • Operating systems: Excellent knowledge of Windows and Linux
  • Software:
    • Well established experience of programming with Perl and Python
    • Basic knowledge of MySQL and C++
    • Excellent knowledge of computing software for statistics such as R
    • Excellent knowledge of graphical applications
    • Practical experience of Microsoft Office and OpenOffice


  • Fluent in written and spoken English
  • Working knowledge of French


  • Correlated fragile site expression allows the identification of candidate fragile genes involved in immunity and associated with carcinogenesis: Re A, Corà D, Puliti AM, Csaelle M, Sbrana I. BMC Bioinformatics 2006 Sep 18; 7:413.
  • Graph theory analysis of genomic problems: community analysis of fragile sites correlations and of pseudogenes alignments: Re A, Molineris I, Caselle M. Computers & Mathematics with Applications 2008; 55:1034-1043.
  • Genome wide survey of MicroRNA-transcription factor feed-forward regulatory circuits in human: Re A, Corà D, Taverna D, Caselle M. Mol Biosyst 2009 Aug; 5(8): 854-67.
  • CircuitsDB: a database of mixed microRNA / Transcription Factor feed-forward regulatory circuits in human and mouse. Olivier Friard, Angela Re, Daniela Taverna, Michele De Bortoli and Davide Corà. BMC Bioinformatics 2010 Aug 23; 11:435.
  • AURA: Atlas of UTR Regulatory Activity. E. Dassi, A. Malossini, A. Re, T. Mazza, T. Tebaldi, L.Caputi and A. Quattrone. Bioinformatics 2012 Jan 1; 28(1): 142-4.
  • Segmental chromosome alterations converge on overexpression of mitotic spindle regulatory genes in high risk neuroblastoma. W. F. Ooi, A. Re, V. Canella, N. Arseni, V. Adami, G. Guarguaglini, M. Giubettini, P. Scaruffi, S. Stigliani, P. Lavia, G. P. Tonini, A. Quattrone. Genes Chromosomes Cancer. 2012 Jun;51(6):545-56.
  • Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells. T. Tebaldi, A. Re, G. Viero, I. Pegoretti, A. Passerini, E. Blanzieri, A. Quattrone. Accepted in BMC Genomics.
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