Graph theory offers the ideal framework to model biological systemic properties. Recently these methods were succesfully applied in proteomics and in the study of metabolic networks. In this paper we want to show that these same tools are equally powerful also to address genomic problems, like alignement networks or the networks obtained by looking at suitable correlators of chromosomic features.

Graph theory analysis of genomics problems: community analysis of fragile sites correlations and of pseudogenes alignements

Ivan Molineris;CASELLE, Michele
2008

Abstract

Graph theory offers the ideal framework to model biological systemic properties. Recently these methods were succesfully applied in proteomics and in the study of metabolic networks. In this paper we want to show that these same tools are equally powerful also to address genomic problems, like alignement networks or the networks obtained by looking at suitable correlators of chromosomic features.
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1043
fragile site; pseudogene; functional annotation; gene regulation; graph theory
Angela Re; Ivan Molineris; Michele Caselle
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/58802
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