Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Koschützki, Dirk"'
Publikováno v:
Plant Physiology, 2009 Jan 01. 149(1), 585-598.
Externí odkaz:
https://www.jstor.org/stable/25594956
Publikováno v:
Journal of Integrative Bioinformatics, Vol 5, Iss 1, Pp 77-93 (2008)
Biological data is often structured in the form of complex interconnected networks such as protein interaction and metabolic networks. In this paper, we investigate a new problem of visualising such overlapping biological networks. Two networks overl
Externí odkaz:
https://doaj.org/article/41d38a0dc16f432a85e4a5070cf73eab
Publikováno v:
Journal of Integrative Bioinformatics, Vol 4, Iss 3, Pp 135-146 (2007)
The analysis of biological networks is increasingly important in the life sciences and in particular in systems biology. Computer-based analysis tools are exploited for the investigation of these networks. However, to find relevant data sources can b
Externí odkaz:
https://doaj.org/article/a3037708f09f4434aff9aeaaf2c080ac
Publikováno v:
Journal of Integrative Bioinformatics, Vol 3, Iss 1, Pp 11-20 (2006)
Kinetic modelling and simulation is an important approach in systems biology. While the focus of current modelling tools is on simulation, model development is a highly iterative process which is currently only partly supported. To support the develo
Externí odkaz:
https://doaj.org/article/d44700542cba463e989da4bb1e34d042
Publikováno v:
In Journal of Theoretical Biology 7 August 2010 265(3):261-269
Publikováno v:
In Journal of Theoretical Biology 2007 248(3):471-479
Autor:
Scholz Uwe, Koschützki Dirk, Klukas Christian, Grosse Ivo, Weise Stephan, Schreiber Falk, Junker Björn H
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 465 (2006)
Abstract Background Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold information about DNA, RNA and protein sequences including their f
Externí odkaz:
https://doaj.org/article/fcc06cd95d4e401b8010e70c886ef6f5
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 219 (2006)
Abstract Background The elucidation of whole-cell regulatory, metabolic, interaction and other biological networks generates the need for a meaningful ranking of network elements. Centrality analysis ranks network elements according to their importan
Externí odkaz:
https://doaj.org/article/2c4460de6603498094a0c22de624751a
Autor:
Koschützki, Dirk1,2 dirk.koschuetzki@hs-furtwangen.de, Schreiber, Falk1,3
Publikováno v:
Gene Regulation & Systems Biology. 2008, Issue 2, p193-201. 9p. 4 Diagrams, 4 Charts.
Autor:
Koschützki, Dirk
Das Ranking von Netzwerkelementen auf der Basis der Netzwerkstruktur ist eine anerkannte Methode zur Exploration neuer Netzwerke und zur Gewinnung von Hypothesen. Für die Analyse von Genregulationsnetzen und metabolischen Reaktionsnetzen, zwei Arten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a5e67e08439f57ac35f0f4c60e01ebb
