Emilio Mastriani

CV & Publications

 

  1. Emilio Mastriani, Kathrina Mae Bienes, Gary Wong, and Nicolas Berthet. PIMGAVir and Vir-MinION: Two Viral Metagenomic Pipelines for Complete Baseline Analysis of 2nd and 3rd Generation Data. Viruses 2022, 14, 1260. https://doi.org/10.3390/v14061260
  2. Mastriani E, Liu SL. Unsupervised Clustering characterizes the CPG dinucleotides distribution of the Andes hantavirus, pre-print: bioRxiv 2021.02.23.432596; doi: https://doi.org/10.1101/2021.02.23.432596
  3. Mastriani E, Rakov AV, Liu SL. Isolating SARS-CoV-2 Strains From Countries in the Same Meridian: Genome Evolutionary Analysis, JMIR Bioinform Biotech. 2021 Jan 22;2(1):e25995. doi: 10.2196/25995. PMID: 33497425; PMCID: PMC7837406.
  4. Emilio Mastriani, Alexey V. Rakov, Shu-Lin Liu. An evolutionary analysis of the SARS-CoV-2 genomes from the countries in the same meridian, pre-print: bioRxiv 2020.11.12.380816; doi: https://doi.org/10.1101/2020.11.12.380816
  5. Alexey V. Rakov, Dieter M. Schifferli, Shu-Lin Liu, Emilio Mastriani. HamHeat: A fast and simple package for calculating Hamming distance from multiple sequence data for heatmap visualization, pre-print: bioRxiv 2020.03.26.009258; doi: https://doi.org/10.1101/2020.03.26.009258
  6. Mastriani, E., Rakov, A.V. and Liu, S.-L. 2020. Differential Expression Analysis on Schizophrenia Dataset Suggests Pseudogene RNU6-505P as under Selective Pressure. International Annals of Science. 9, 1 (Jan. 2020), 86-99. DOI: https://doi.org/10.21467/ias.9.1.86-99
  7. Liu H, Zeng Z, Afsharpad M, Lin C, Wang S, Yang H, Liu S, Kelemen LE, Xu W, Ma W, Xiang Q, Mastriani E, Wang P, Wang J, Liu SL, Johnston RN, Köbel M. Overexpression of IGF2BP3 as a Potential Oncogene in Ovarian Clear Cell Carcinoma. Front Oncol. 2020 Jan 30; 9:1570. doi:10.3389/fonc.2019.01570. PMID: 32083017; PMCID: PMC7002550.
  8. 7. Rakov AV, Mastriani E, Liu SL, Schifferli DM. Association of Salmonella virulence factor alleles with intestinal and invasive serovars. BMC Genomics. 2019 May 28;20(1):429. doi: 10.1186/s12864-019-5809-8. PMID: 31138114; PMCID: PMC6540521.
  9. Mastriani E, Zhai R, Zhu S. Microarray-Based MicroRNA Expression Data Analysis with Bioconductor. Methods Mol Biol. 2018; 1751:127-138. doi: 10.1007/978-1-4939-7710-9_9. PMID: 29508294.
  10. Liu H, Zeng Z, Wang S, Li T, Mastriani E, Li QH, Bao HX, Zhou YJ, Wang X, Liu Y, Liu W, Hu S, Gao S, Yu M, Qi Y, Shen Z, Wang H, Gao T, Dong L, Johnston RN, Liu SL. Main components of pomegranate, ellagic acid and luteolin, inhibit metastasis of ovarian cancer by down-regulating MMP2 and MMP9. Cancer Biol Ther. 2017 Dec 2;18(12):990-999. doi: 10.1080/15384047.2017.1394542. Epub 2017 Nov 27. PMID: 29173024; PMCID: PMC5718784.
  11. Tang L, Mastriani E, Zhou YJ, Zhu S, Fang X, Liu YP, Liu WQ, Li YG, Johnston RN, Guo Z, Liu GR, Liu SL. Differential degeneration of the ACTAGT sequence among Salmonella: a reflection of distinct nucleotide amelioration patterns during bacterial divergence. Sci Rep. 2017 Sep 8;7(1):10985. doi: 10.1038/s41598-017-11226-9. PMID: 28887484; PMCID: PMC5591236.
  12. Liu H, Liu J, Wang S, Zeng Z, Li T, Liu Y, Mastriani E, Li QH, Bao HX, Zhou YJ, Wang X, Hu S, Gao S, Qi Y, Shen Z, Wang H, Yu M, Gao T, Johnston RN, Liu SL. Enterolactone has stronger effects than enterodiol on ovarian cancer. J Ovarian Res. 2017 Jul 24;10(1):49. doi: 10.1186/s13048-017-0346-z. PMID: 28738876; PMCID: PMC5525236.
  13. Dr. Le Tang, Dr. Songling Zhu, Dr. Emilio Mastriani, Miss Xin Fang, Dr. Yu-Jie Zhou, Dr. Yong-Guo Li , Prof. Randal Johnston , Dr. Zheng Guo , Ms. Gui-Rong Liu. (2017) “Conserved intergenic sequences revealed by CTAG-profiling in Salmonella: thermodynamic modeling for function prediction”, Scientific Reports, Accepted 23 January 2017
  14. Huidi Liu, Emilio Mastriani, Zi-Qiao Yan, Si-Yuan Yin, Zheng Zeng, Hong Wang, Qing-Hai Li, Hong-Yu Liu, Xiaoyu Wang, Hong-Xia Bao, Yu-Jie Zhou, Jun-Jie Kou, Dongsheng Li, Ting Li, Jianrui Liu, Yongfang Liu, Lin Yin, Li Qiu, Liling Gong & Shu-Lin Liu (2016) “SOX7 co-regulates Wnt/β-catenin signaling with Axin-2: both expressed at low levels in breast cancer”, Scientific Reports 6, Article number: 26136 (2016) doi:10.1038/srep26136
  15. Pappalardo,F., Calonaci,C., Pennisi,M., Mastriani,E., Motta,S. (2009) “HAMFAST: Fast Hamming Distance Computation”, IEEE World Congress on Computer Science and Information Engineering (CSIE 2009), 1, 569-572.
  16. Pappalardo,F., Pennisi,M., Mastriani,E., Motta,S. (2009) “Grid-based atherosclerosis simulations”, Final Workshop of Grid Projects, PON Ricerca 2000-2006, no. 1575, ISBN: ISBN: 978-88-95892-02-3, 403-410.
  17. Pennisi,M., Pappalardo,F., Mastriani,E., Chiacchio,F., Motta,S. (2009) “A biological optimization problem on the Grid”, Final Workshop of Grid Projects, PON Ricerca 2000-2006, no. 1575, ISBN: 978-88-95892-02-3, 403-410.
  18. Alemani,D., Pappalardo,F., Pennisi,M., Mastriani,E., Motta,S. (2009) “Grid-based cancer growth simulations”, Final Workshop of Grid Projects, PON Ricerca 2000-2006, Avviso 1575 , pp 411-417, ISBN: 978-88-95892-02-3.
  19. A. Pedretti, A. Lombardo, G. Vistoli, E. Mastriani, F. Pappalardo, S. Motta (2009), “Porting of a Docking Application on PI2S2 Grid infrastructure”, Final Workshop of Grid Projects, “PON Ricerca 2000-2006, Avviso 1575”, pp 468-473, ISBN: 978-88-95892-02-3.
  20. Mastriani,E., Pappalardo,F., Motta,S. (2008) “PI2S2-Immunogrid Integration and Bioinformatics large scale simulations”, Grid Open Day, Engineer Faculty, University of Catania, May, 9th, Catania, Italy
  21. Pennisi M., Catanuto R., Mastriani E., Cincotti A., Pappalardo F., Motta S. (2008) “Optimization of Vaccine Schedules using Simulated Annealing”, Lecture Notes in Computer Science.
  22. Pappalardo,F., Gullo,F., Catanuto,R., Mastriani,E., Pennisi,M., Musumeci,S., Motta,S. (2008) “Agent based modeling of humoral response to atherogenesis”,  Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2008), Lecture Notes in Bioinformatics, 5488, Springer . ISBN: 978-88-903537-1-0
  23. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani, M. Pennisi, (2007) “Towards a personalized schedule with Triplex vaccine”, Lecture Notes in Computer Science 4578, 620—626.
  24. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani. (2007) “Analysis of vaccine’s schedules using models”, Cellular Immunology, 244, 137-140. 
  25. Mastriani,E., MD.Halling-Brown, A. Shepherd, and S. Motta, (2007) “ImmunoGridPI2S2 integration Architecture”, Proceedings of the Symposium “GRID Open Days at the University of Palermo”, ISBN 978-88-95892-00-9, 127- 131.
  26. Mastriani,E., Pappalardo,F., Pennisi,M., Catanuto,R., Motta,S. (2007) “Tumor associated antigen variation – in silico experiments using the sicilian grid”, Proceedings of the Symposium “GRID Open Days at the University of Palermo”, ISBN 978-88-95892-00-9, 127-131.
  27. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani. (2007) “Analysis of vaccine’s schedules using models”, Cellular Immunology, 244, 137-140. [IF 1.808]
  28. F. Pappalardo, E. Mastriani, P.-L. Lollini, S. Motta. (2006) “Analysis of vaccine’s schedules using models”, Proceedings of International Congress of Immunogenomics and Immunomics (BCII 2006), October 8-12, 2006 – Budapest, Hungary, pp. 63-64. 
  29. F. Pappalardo, E. Mastriani, P.-L. Lollini, S. Motta. (2006) “Analysis of vaccine’s schedules using models”, Proceedings of International Congress of Immunogenomics and Immunomics 63-64.
  30. F. Pappalardo, P.-L. Lollini, S. Motta, E. Mastriani. (2006) “Model Deconstruction of an immunoprevention Vaccine”, Lecture Notes in Computer Science, 350—353. 
  31. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani, M. Pennisi. (2006) “The Stabilization Effect of the Triplex Vaccine”, Proceedings of the 7th International FLINS Conference, Applied Artificial Intelligence, World Scientific, 587—592.
  32. F. Pappalardo, E. Mastriani, P.-L. Lollini, S. Motta. (2006) “Genetic Algorithm against Cancer”, Lecture Notes in Computer Science, 3849 223– 228. 
  33. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani and M.Pennisi (2006) “The Stabilization Effect of the Triplex Vaccine”, in proceedings of the Third International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics , World Scientific
  34. F. Pappalardo, P.-L. Lollini, E. Mastriani and S. Motta. (2006) “Analysis of vaccine’s schedules using models”, in proceedings of IEEE World Congress on Computational Intelligence, s.s. Neural Networks Applications to Bioinformatics, IEEE press
  35. F. Pappalardo, P.-L. Lollini, E. Mastriani and S. Motta. (2006) “Model Deconstruction of an Immunoprevention Vaccine”, Lecture Notes in Computer Science
  36. S. Motta, F. Pappalardo, E. Mastriani, P.-L. Lollini. (2006) “Cancer immunoprevention: what can we learn from in silico models?”, Proceedings of International Congress of Immunogenomics and Immunomics 70.
  37. F. Pappalardo, E. Mastriani, P.-L. Lollini, S. Motta. (2006) “Analysis of vaccine’s schedules using models”, Proceedings of International Congress of Immunogenomics and Immunomics 63-64.
  38. F. Pappalardo, P.-L. Lollini, E. Mastriani and S. Motta (2005) “Genetic Algorithm against Cancer”, in Proceedings of 2-th International Meeting on ComputationalIntelligence Methods for Bioinformatics and Biostatistics, Crema, IT, Italy, Lecture Notes in Computer Science, 3849 223–228
  39. F. Pappalardo, P.-L. Lollini, S. Motta, E. Mastriani (2005) “Maths against Cancer”, in Proceedings of 5-th International ISAAC Congress, July 25-30, Catania, Sicily, Italy
  40. Motta, S., Lollini,P.-L., Pappalardo,F., Mastriani,E.(2005) “Modelling can help: an analysis of the effects of an immunoprevenction vaccine”, 4th World Congress on cellular and Molecular Biology, (2005), 136, ISSN:0145-5680
  41. V. Cutello and F. Pappalardo, E. Mastriani (2002) “An evolutionary algorithm for the Minimum Hitting Set Problem”, in Proceedings of the 3-rd WSEAS International Conference on Evolutionary Computation, Interlaken, Switzerland, pp. 277–281, www.wseas.org
  42. V. Cutello and F. Pappalardo, E. Mastriani (2002) “An evolutionary algorithm for the T-constrained variation of the Minimum Hitting Set Problem”, in Proceedings of the 2002 IEEE World Congress on Computational Intelligence, Honolulu, HI, USA, May 12-17, Vol. 1, pp. 366–371, www.ieee.org.