Mario Cannataro
Socio Ordinario
Professore ordinario
Università di Catanzaro
Contact Information
website
RESEARCH AREA
algorithms,biological data integration,biological ontologies,IT-ICT technology,machine learning,network systems
RESEARCH ACTIVITY
Management, preprocessinga and data mining analysis of omics data.
Bioinformatics tools for statistical and data mining analysis of genotyping data.
Protein-Protein Interaction Networks.
Parallel computing applied to bioinformatics.
Artificial Intelligence in Bioinformatics.
Sentiment Analysis and Text Mining in Narrative Medicine.
Bioinformatics tools for statistical and data mining analysis of genotyping data.
Protein-Protein Interaction Networks.
Parallel computing applied to bioinformatics.
Artificial Intelligence in Bioinformatics.
Sentiment Analysis and Text Mining in Narrative Medicine.
SELECTED PUBLICATIONS
Mariamena Arbitrio, Maria Teresa Di Martino, Francesca Scionti, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro, Pierfrancesco Tassone, Pierosandro Tagliaferri. DMET™ (Drug Metabolism Enzymes and Transporters): A Pharmacogenomic platform for precision medicine. Oncotarget 7 (33), pp. 54028-54050
Pietro H Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro. Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings in Bioinformatics (2015). DOI: 10.1093/bib/bbv076, First published online: September 8, 2015
Maria Teresa Di Martino, Mariamena Arbitrio, Pietro Hiram Guzzi, Mario Cannataro, Pierosandro Tagliaferri, Pierfrancesco Tassone. Experimental treatment of multiple myeloma in the era of precision medicine. Expert Review of Precision Medicine and Drug Development, Vol. 1, N. 1, pp. 37-51, 2016. Published online: 05 Feb 2016. DOI: 10.1080/23808993.2016.1142356
Marianna Milano , Giuseppe Agapito, Pietro H. Guzzi , Mario Cannataro. An experimental study of information content measurement of gene ontology terms. International Journal of Machine Learning and Cybernetics, pp. 1-13. First published online: 05 January 2016. DOI: 10.1007/s13042-015-0482-y
Agapito G.; Milano, Guzzi, P.H.; M.; Cannataro, M.; Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 13, N. 2, pp. 197-208, March-April 2016. Date of First Online Publication: 29 luglio 2015. DOI: 10.1109/TCBB.2015.2462348
Pietro H Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro. Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings in Bioinformatics (2015). DOI: 10.1093/bib/bbv076, First published online: September 8, 2015
Maria Teresa Di Martino, Mariamena Arbitrio, Pietro Hiram Guzzi, Mario Cannataro, Pierosandro Tagliaferri, Pierfrancesco Tassone. Experimental treatment of multiple myeloma in the era of precision medicine. Expert Review of Precision Medicine and Drug Development, Vol. 1, N. 1, pp. 37-51, 2016. Published online: 05 Feb 2016. DOI: 10.1080/23808993.2016.1142356
Marianna Milano , Giuseppe Agapito, Pietro H. Guzzi , Mario Cannataro. An experimental study of information content measurement of gene ontology terms. International Journal of Machine Learning and Cybernetics, pp. 1-13. First published online: 05 January 2016. DOI: 10.1007/s13042-015-0482-y
Agapito G.; Milano, Guzzi, P.H.; M.; Cannataro, M.; Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 13, N. 2, pp. 197-208, March-April 2016. Date of First Online Publication: 29 luglio 2015. DOI: 10.1109/TCBB.2015.2462348
M. Cannataro, G. Cuda, M. Gaspari, S. Greco, G. Tradigo and P. Veltri, The EIPeptiDi Tool: Enhancing Peptides Discovering in ICAT-based LC MS/MS Experiments, BMC Bioinformatics 2007, 8:255 (15 July 2007), http://dx.doi.org/10.1186/1471-2105-8-255
M. Cannataro, A. Barla, R. Flor, G. Jurman, S. Merler, S. Paoli, G. Tradigo, P. Veltri, C. Furlanello, A grid environment for high-throughput proteomics, IEEE Transaction on NanoBiosciences 2007, 6(2):117-123. http://dx.doi.org/10.1109/TNB.2007.897495
M. Cannataro, P. H. Guzzi, T. Mazza, P. Veltri, Using Ontologies for Preprocessing and Mining Spectra Data on the Grid, Future Generation Computer Systems – Special Issue on Data Mining in Grid Computing Environments, Vol. 23, n. 1, pp. 55-60. http://dx.doi.org/10.1016/j.future.2006.04.011
M. Cannataro, P. Veltri, MS-Analyzer: Composing and Executing Preprocessing and Data Mining Services for Proteomics Applications on the Grid, Concurrency and Computation: Practice and Experience, (Articles online in advance of print). http://dx.doi.org/10.1002/cpe.1144
Mario Cannataro, Domenico Talia, Giuseppe Tradigo, Paolo Trunfio, and Pierangelo Veltri, SIGMCC: a System for Sharing Meta Patient Records in a Peer-to-peer Environment, Future Generation Computer Systems, 2007, 24(3): 222-234, March 2008. Available online 1 July 2007, http://dx.doi.org/10.1016/j.future.2007.06.006
Mario Cannataro, Computational proteomics: management and analysis of proteomics data, Briefings in Bioinformatics 2008 9(2):97-101; http://dx.doi.org/10.1093/bib/bbn011, Advance Access published on February 29, 2008, Oxford University Press, March 2008. Online ISSN 1477-4054 - Print ISSN 1467-5463
Barbara Quaresima, Telma Crugliano, Marco Gaspari, Maria Concetta Faniello, Paola Cosimo, Rosa Valanzano, Maurizio Genuardi, Mario Cannataro, Pierangelo Veltri, Francesco Baudi, Patrizia Doldo, Giovanni Cuda, Salvatore Venuta, Francesco Costanzo, A proteomics approach to identify changes in protein profiles in serum of familial adenomatous polyposis patients, Cancer Letters 272(1):40-52, 8 December 2008, http://dx.doi.org/10.1016/j.canlet.2008.06.021
M. Cannataro, et al., IMPRECO: Distributed prediction of protein complexes, Future Generation Computer Systems (2009), http://dx.doi.org/10.1016/j.future.2009.08.001
Mario Cannataro, Pietro H. Guzzi, P. Veltri, Protein to Protein Interactions: Technologies, Databases and Algorithms, ACM Computing Surveys, (ACCEPTED).
Cannataro M. (Editor), Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare, Medical Information Science Reference, IGI Global Press, Hershey, USA, May 2009. http://www.igi-global.com/reference/details.asp?ID=34292, ISBN: 978-1-60566-374-6
Pietro H Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro. Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings in Bioinformatics (2015). DOI: 10.1093/bib/bbv076, First published online: September 8, 2015
Maria Teresa Di Martino, Mariamena Arbitrio, Pietro Hiram Guzzi, Mario Cannataro, Pierosandro Tagliaferri, Pierfrancesco Tassone. Experimental treatment of multiple myeloma in the era of precision medicine. Expert Review of Precision Medicine and Drug Development, Vol. 1, N. 1, pp. 37-51, 2016. Published online: 05 Feb 2016. DOI: 10.1080/23808993.2016.1142356
Marianna Milano , Giuseppe Agapito, Pietro H. Guzzi , Mario Cannataro. An experimental study of information content measurement of gene ontology terms. International Journal of Machine Learning and Cybernetics, pp. 1-13. First published online: 05 January 2016. DOI: 10.1007/s13042-015-0482-y
Agapito G.; Milano, Guzzi, P.H.; M.; Cannataro, M.; Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 13, N. 2, pp. 197-208, March-April 2016. Date of First Online Publication: 29 luglio 2015. DOI: 10.1109/TCBB.2015.2462348
Pietro H Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro. Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings in Bioinformatics (2015). DOI: 10.1093/bib/bbv076, First published online: September 8, 2015
Maria Teresa Di Martino, Mariamena Arbitrio, Pietro Hiram Guzzi, Mario Cannataro, Pierosandro Tagliaferri, Pierfrancesco Tassone. Experimental treatment of multiple myeloma in the era of precision medicine. Expert Review of Precision Medicine and Drug Development, Vol. 1, N. 1, pp. 37-51, 2016. Published online: 05 Feb 2016. DOI: 10.1080/23808993.2016.1142356
Marianna Milano , Giuseppe Agapito, Pietro H. Guzzi , Mario Cannataro. An experimental study of information content measurement of gene ontology terms. International Journal of Machine Learning and Cybernetics, pp. 1-13. First published online: 05 January 2016. DOI: 10.1007/s13042-015-0482-y
Agapito G.; Milano, Guzzi, P.H.; M.; Cannataro, M.; Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 13, N. 2, pp. 197-208, March-April 2016. Date of First Online Publication: 29 luglio 2015. DOI: 10.1109/TCBB.2015.2462348
M. Cannataro, G. Cuda, M. Gaspari, S. Greco, G. Tradigo and P. Veltri, The EIPeptiDi Tool: Enhancing Peptides Discovering in ICAT-based LC MS/MS Experiments, BMC Bioinformatics 2007, 8:255 (15 July 2007), http://dx.doi.org/10.1186/1471-2105-8-255
M. Cannataro, A. Barla, R. Flor, G. Jurman, S. Merler, S. Paoli, G. Tradigo, P. Veltri, C. Furlanello, A grid environment for high-throughput proteomics, IEEE Transaction on NanoBiosciences 2007, 6(2):117-123. http://dx.doi.org/10.1109/TNB.2007.897495
M. Cannataro, P. H. Guzzi, T. Mazza, P. Veltri, Using Ontologies for Preprocessing and Mining Spectra Data on the Grid, Future Generation Computer Systems – Special Issue on Data Mining in Grid Computing Environments, Vol. 23, n. 1, pp. 55-60. http://dx.doi.org/10.1016/j.future.2006.04.011
M. Cannataro, P. Veltri, MS-Analyzer: Composing and Executing Preprocessing and Data Mining Services for Proteomics Applications on the Grid, Concurrency and Computation: Practice and Experience, (Articles online in advance of print). http://dx.doi.org/10.1002/cpe.1144
Mario Cannataro, Domenico Talia, Giuseppe Tradigo, Paolo Trunfio, and Pierangelo Veltri, SIGMCC: a System for Sharing Meta Patient Records in a Peer-to-peer Environment, Future Generation Computer Systems, 2007, 24(3): 222-234, March 2008. Available online 1 July 2007, http://dx.doi.org/10.1016/j.future.2007.06.006
Mario Cannataro, Computational proteomics: management and analysis of proteomics data, Briefings in Bioinformatics 2008 9(2):97-101; http://dx.doi.org/10.1093/bib/bbn011, Advance Access published on February 29, 2008, Oxford University Press, March 2008. Online ISSN 1477-4054 - Print ISSN 1467-5463
Barbara Quaresima, Telma Crugliano, Marco Gaspari, Maria Concetta Faniello, Paola Cosimo, Rosa Valanzano, Maurizio Genuardi, Mario Cannataro, Pierangelo Veltri, Francesco Baudi, Patrizia Doldo, Giovanni Cuda, Salvatore Venuta, Francesco Costanzo, A proteomics approach to identify changes in protein profiles in serum of familial adenomatous polyposis patients, Cancer Letters 272(1):40-52, 8 December 2008, http://dx.doi.org/10.1016/j.canlet.2008.06.021
M. Cannataro, et al., IMPRECO: Distributed prediction of protein complexes, Future Generation Computer Systems (2009), http://dx.doi.org/10.1016/j.future.2009.08.001
Mario Cannataro, Pietro H. Guzzi, P. Veltri, Protein to Protein Interactions: Technologies, Databases and Algorithms, ACM Computing Surveys, (ACCEPTED).
Cannataro M. (Editor), Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare, Medical Information Science Reference, IGI Global Press, Hershey, USA, May 2009. http://www.igi-global.com/reference/details.asp?ID=34292, ISBN: 978-1-60566-374-6
OTHER MEMBERSHIPS
IEEE,
ACM,
ACM SIGBIO (Member of the Board of Directors),
IEEE Computer Society,
BITS.
ACM,
ACM SIGBIO (Member of the Board of Directors),
IEEE Computer Society,
BITS.
EDITORIAL BOARDS
Briefings in Bioinformatics,
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
High-Throughput,
Encyclopedia of Bioinformatics and Computational Biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
High-Throughput,
Encyclopedia of Bioinformatics and Computational Biology
MAIN TEACHINGS
Corso di Laurea in Ingegneria Informatica e Biomedica, Scuola di Medicina e Chirurgia, Università “Magna Graecia” di Catanzaro:
- Bioinformatica.
Corsi di Laurea Magistrale in Ingegneria Biomedica, Scuola di Medicina e Chirurgia, Università “Magna Graecia” di Catanzaro:
- Infrastrutture di calcolo e algoritmi efficienti per la biologia e la medicina.
- Bioinformatica.
Corsi di Laurea Magistrale in Ingegneria Biomedica, Scuola di Medicina e Chirurgia, Università “Magna Graecia” di Catanzaro:
- Infrastrutture di calcolo e algoritmi efficienti per la biologia e la medicina.
