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Roberta Alfieri
Socio Ordinario
Istituto Nazionale di Genetica Molecolare (INGM)
Contact Information
biological data integration,biological data modelling,network systems,sequence analysis,system biology
Roberta Alfieri graduated in Medical Biotechnology and then she obtained the MS and PhD in Bioinformatics. She is bioinformatician at INGM, the National Institute of Molecular Genetics in Milan, Italy. She is currently involved in the analysis of high-throughput sequencing data in the field of immunological and cancer research. In the past, she worked within clinical research project in the field of virology and hepatocellular carcinoma. Moreover, she was directly involved in the implementation of mathematical models related to important biological processes (metabolism, cell cycle) and she implemented public biological databases. She is author of a dozen of peer-reviewed scientific publications.
• Mosca E, Alfieri R, Maj C, Bevilacqua A, Canti G and Milanesi L., Computational Modelling of the Metabolic States Regulated by the Kinase Akt. Front. Physio. 3:418 (2012).
• Mosca E, Barcella M, Alfieri R, Bevilacqua A, Canti G, Milanesi L, Systems biology of the metabolic network regulated by the Akt pathway, Biotechnol Adv. Jan;30(1):131-41 (2012). ISSN: 0734-9750. IF 9,646
• Viti, F, Merelli, I, Calabria, A, Cozzi, P, Mosca, E, Alfieri, R. and Milanesi, L. Ontology-based resources for bioinformatics analysis, Int. J. Metadata, Semantics and Ontologies, Vol. 6, No. 1, pp.35–45 (2011) ISBN/ISSN: 1744-2621.
• Alfieri R, Bartocci E, Merelli E, Milanesi L. Modeling the cell cycle: From deterministic models to hybrid systems. BioSystems Jul;105(1):34-40 (2011). ISSN: 0303-2647. IF: 1,78
• Mosca E, Barcella M, Alfieri R, Bevilacqua A, Milanesi L, A systems biology approach for the identification of glycolysis key regulators in cancer cells, Journal of Biotechnology, Volume 150, Supplement 1, Pages 545-546 (2010). ISSN: 0168-1656. IF: 2,97
• Mosca E, Alfieri R, Merelli I, Viti F, Calabria A, Milanesi L, A multilevel data integration resource for breast cancer study, BMC Syst Biol. Jun 3;4(1):76. (2010). ISSN: 1752-0509. IF: 3,56
• Alfieri R, Barberis M, Chiaradonna F, Gaglio D, Milanesi L, Vanoni M, Klipp E, Alberghina L. Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation. BMC Bioinformatics. 15;10 Suppl 12:S16. (2009). ISSN: 1471-2105. IF: 3,42
• Mosca E, Merelli I, Alfieri R, Milanesi L, A distributed approach for parameter estimation in systems biology models, Il nuovo Cimento C, Vol 32, pp165-168, (2009). IF:0,27
• Alfieri R, Merelli I, Mosca E, Milanesi L. The cell cycle DB: a systems biology approach to cell cycle analysis. Nucleic Acids Res. 2008 Jan;36(Database issue):D641-5. (2008). ISSN: 0305-1048. IF: 6,87
• Alfieri R, Merelli I, Mosca E, Milanesi L. A Data Integration Approach for Cell Cycle Analysis oriented to Model Simulation in Systems Biology. BMC Syst Biol. 1;1(1):35. (2007). ISSN: 1752-0509. IF: 3,7
• Alfieri R, Mosca E, Merelli I, Milanesi L. Parameter Estimation for Cell Cycle Ordinary Differential Equation (ODE) Models using a Grid Approach. Stud Health Technol Inform. 126:93-102. ISBN:9781586037383, ISSN: 0926-9630 (2007).