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Gianmaria Mancosu

I joined the bioinformatics research group at CRS4 in Winter, 2006. My research interests are mainly focused on computational issues on bioinformatics and personalized medicine.

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Gianmaria Mancosu, PhD

CRS4 Bioinformatics Laboratory
c/o Parco Tecnologico POLARIS, Edificio 3
Loc. Piscinamanna
09010 PULA (CA), ITALY
e-mail: mancosu AT crs4 DOT it
dir. phone: +39 070 9250 419
fax: +39 070 9243 3114

Current Research Interests

System Biology

I became part of the RAGNO Group, guided by Alberto de la Fuente, with the main purpose of investigating gene regulatory networks of simple organisms (like yeast), by applying graph theory and social networking algorithms.


Pharmacogenetics

We are investigating drugs metabolism associated to patient’s genotypes of human cytochrome P450. We are developing a database and an inquiry application to let researchers be able to recognize autonomously their samples and let them suggest the correct therapy.


Education
2004

PhD in Electronic Engineering and Computer Science, University of Cagliari, Italy


Research on methods for protein secondary structure prediction. The developed software architecture is based on a multi-expert multi-agent hybrid (ANN-GA, XCS) classifier system. It was a four-years team work, bringing to the deployment of MASSP, a Multi-Agent Secondary Structure Predictor. There is also a Java implementation of the designed architecture (JMASSP).
2000
Laurea in Electronic Engineering, University of Cagliari, Italy


Thesis on the study and implementation of innovative algorithms for motion detection systems from real-time video sequences. The procedure is based on the enrichment of the motion estimation with an evaluation of its reliability. In a hierarchic architecture, this additional parameter speeds up calculus of the optical field, obtaining better results in terms of precision and quality.

Publications

  • Pirastu M., Melis, P. M., Angius, A., Forabosco, P., Falchi, M., Petretto, E., Cappio Borlino, C., Unali, P., Mancosu, G., Ledda, P., Hayward, C., and Wright, A. F., High Resolution Genetic Maps and Complete Genealogy of an Isolated Sardinian Subpopulation as Prerequisite for the Study of Complex Traits, American Journal of Human Genetics, 2002 Annual Meeting, Vol. 71, n. 4, p. 177.

  • Mancosu G, Ledda G, Melis PM., PedNavigator: a pedigree drawing servlet for large and inbred populations. Bioinformatics. 2003 Mar 22;19(5):669-70.

  • G Armano, G Mancosu, A Orro, A MultiAgent System for Protein Secondary Structure Prediction, in NETTAB — Models and Metaphors from Biology to Bioinformatics Tools, pages 19–29, Camerino, Italy, 2004.

  • G. Armano, G. Mancosu, A. Orro, M. Saba, and E. Vargiu, MASSP: A hybrid genetic-neural system for predicting protein secondary structure, Bioinformatics ITalian Society (BITS Annual Meeting), Conference Proceedings, pp. 22-23, 2005.

  • G. Mancosu, Browsing Isolated Population Data, Bioinformatics ITalian Society (BITS Annual Meeting), Conference Proceedings, 2005.

  • G. Armano, G. Mancosu, and A. Orro, Using Multiple Experts for Predicting Protein Secondary Structure, in Proceedings of the International Conference on Artificial Intelligence and Applications, 2005, pp. 451-456.

  • G. Mancosu, Analysis of an Integrated Genealogical-Genetic-Clinical Database: Interactive Informatics Tools for Dummies, Oral Communication in the International Meeting on Genetics of Complex Diseases and Isolated Populations, Paestum (SA), Italy, 2005.

  • A. Orro, M. Saba, E. Vargiu, G. Mancosu, Using a Personalized Adaptive and Cooperative MultiAgent System for Predicting Protein Secondary Structure, International Workshop on Multi-Agent Systems for Medicine, Computational Biology, and Bioinformatics, 2005.

  • Gianmaria Mancosu , Massimiliano Cosso , Francesca Marras, Cesare Cappio Borlino, Giuseppe Ledda, Teresa Manias, Mauro Adamo, Donatella Serra, Paola Melis and Mario Pirastu, Browsing Isolated Population Data, BMC Bioinformatics 2005, 6(Suppl 4):S17

  • Armano G, Mancosu G, Milanesi L, Orro A, Saba M, Vargiu E., A hybrid genetic-neural system for predicting protein secondary structure, BMC Bioinformatics 2005, 6(Suppl 4):S3.

  • G. Armano, G. Mancosu, A. Orro, E. Vargiu, A Multi-Agent System for Protein Secondary Structure Prediction, Transactions on Computational Systems Biology III, Lecture Notes in Computer Science, C. Priami, E. Merelli, P. Gonzales, A. Omicini (eds.), pp. 14--32, 2005.

  • G. Armano, G. Mancosu, A. Orro, M. Saba, E. Vargiu, BIOPACMAS: A Personalized, Adaptive, and Cooperative MultiAgent System for Predicting Protein Secondary Structure, Lecture Notes in Computer Science, Volume 3673, Oct 2005, Pages 587 – 598.

  • Fraumene C, Belle EM, Castri L, Sanna S, Mancosu G, Cosso M, Marras F, Barbujani G, Pirastu M, Angius A. High Resolution Analysis and Phylogenetic Network Construction Using Complete mtDNA Sequences in Sardinian Genetic Isolates. Mol Biol Evol. 23(11):2101-11, 2006.
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