Visualising Metabolic Pathways and Networks : Past, Present, Future

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SCHREIBER, Falk, Eva GRAFAHREND-BELAU, Oliver KOHLBACHER, Huaiyu MI, 2022. Visualising Metabolic Pathways and Networks : Past, Present, Future. In: CHEN, Ming, ed. and others. Integrative Bioinformatics. Singapore:Springer, pp. 237-267. ISBN 978-981-16-6795-4. Available under: doi: 10.1007/978-981-16-6795-4_12

@incollection{Schreiber2022Visua-57325, title={Visualising Metabolic Pathways and Networks : Past, Present, Future}, year={2022}, doi={10.1007/978-981-16-6795-4_12}, isbn={978-981-16-6795-4}, address={Singapore}, publisher={Springer}, booktitle={Integrative Bioinformatics}, pages={237--267}, editor={Chen, Ming}, author={Schreiber, Falk and Grafahrend-Belau, Eva and Kohlbacher, Oliver and Mi, Huaiyu} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Mi, Huaiyu</dc:contributor> <dcterms:rights rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Kohlbacher, Oliver</dc:contributor> <dc:contributor>Grafahrend-Belau, Eva</dc:contributor> <dc:creator>Schreiber, Falk</dc:creator> <dcterms:issued>2022</dcterms:issued> <dcterms:available rdf:datatype="">2022-04-21T09:11:52Z</dcterms:available> <dc:creator>Kohlbacher, Oliver</dc:creator> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Grafahrend-Belau, Eva</dc:creator> <dcterms:isPartOf rdf:resource=""/> <bibo:uri rdf:resource=""/> <dcterms:title>Visualising Metabolic Pathways and Networks : Past, Present, Future</dcterms:title> <dcterms:abstract xml:lang="eng">Visualisations of metabolites and metabolic pathways have been used since the early years of research in biology, and pathway maps have become very popular in biochemistry textbooks, on posters, as well as in electronic resources and web pages about metabolism. Visualisations help to present knowledge and support browsing through chemical structures, enzymes, reactions and pathways. In addition, visual and immersive analytics of metabolism connects network analysis algorithms and interactive visualisation methods to investigate structures in the network such as centralities, motifs and paths, or to compare pathways for finding differences between species or conditions. The graphical depiction of networks supports the mapping and investigation of additional data such as metabolomics, enzyme activity, flux and transcriptomics data, and the exploration of the data in the network context. It builds a foundation for investigating the dynamics of metabolic processes obtained either experimentally or via modelling and simulation. Here we discuss past, present and future of the visualisation of metabolic networks and pathways and provide links to several resources.</dcterms:abstract> <dc:contributor>Schreiber, Falk</dc:contributor> <dc:date rdf:datatype="">2022-04-21T09:11:52Z</dc:date> <dc:creator>Mi, Huaiyu</dc:creator> <dc:language>eng</dc:language> <dc:rights>terms-of-use</dc:rights> </rdf:Description> </rdf:RDF>

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