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PathIN: an integrated tool for the visualization of pathway interaction networks.
Minadakis, George; Christodoulou, Kyproula; Tsouloupas, George; Spyrou, George M.
Afiliação
  • Minadakis G; Bioinformatics Department, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371 Ayios Dometios, Nicosia, Cyprus | PO Box 23462, 1683, Nicosia, Cyprus.
  • Christodoulou K; Neurogenetics Department, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371 Ayios Dometios, Nicosia, Cyprus | PO Box 23462, 1683, Nicosia, Cyprus.
  • Tsouloupas G; HPC Facility, The Cyprus Institute, 20 Konstantinou Kavafi Street, Aglantzia, 2121, Nicosia, Cyprus.
  • Spyrou GM; Bioinformatics Department, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371 Ayios Dometios, Nicosia, Cyprus | PO Box 23462, 1683, Nicosia, Cyprus.
Comput Struct Biotechnol J ; 21: 378-387, 2023.
Article em En | MEDLINE | ID: mdl-36618987
PathIN is a web-service that provides an easy and flexible way for rapidly creating pathway-based networks at several functional biological levels: genes, compounds and reactions. The tool is supported by a database repository of reference pathway networks across a large set of species, developed through the freely available information included in the KEGG, Reactome and Wiki Pathways database repositories. PathIN provides networks by means of five diverse methodologies: (a) direct connections between pathways of interest, (b) direct connections as well as the first neighbours of the given pathways, (c) direct connections, the first neighbours and the connections in between them, and (d) two additional methodologies for creating complementary pathway-to-pathway networks that involve additional (missing) pathways that interfere in-between pathways of interest. PathIN is expected to be used as a simple yet informative reference tool for understanding networks of molecular mechanisms related to specific diseases.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article