Literature DB >> 17142815

Dynamic exploration and editing of KEGG pathway diagrams.

Christian Klukas1, Falk Schreiber.   

Abstract

MOTIVATION: The Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway database is a very valuable information resource for researchers in the fields of life sciences. It contains metabolic and regulatory processes in the form of wiring diagrams, which can be used for browsing and information retrieval as well as a base for modeling and simulation. Thus it helps in understanding biological processes and higher-order functions of biological systems. Currently the KEGG website uses semi-static visualizations for the presentation and navigation of its pathway information. While this visualization style offers a good pathway presentation and navigation, it does not provide some of the possibilities related to dynamic visualizations, most importantly, the creation and visualization of user-specific pathways.
RESULTS: This paper presents methods for the dynamic visualization, interactive navigation and editing of KEGG pathway diagrams. These diagrams, given as KEGG Markup Language (KGML) files, can be visually explored using novel approaches combining semi-static and dynamic visualization, but also edited or even newly created and then exported into KGML files. AVAILABILITY: KGML-ED, a program implementing the presented methods, is available free of charge to the scientific community at http://kgml-ed.ipk-gatersleben.de.

Mesh:

Year:  2006        PMID: 17142815     DOI: 10.1093/bioinformatics/btl611

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  29 in total

1.  KPP: KEGG Pathway Painter.

Authors:  Ganiraju Manyam; Aybike Birerdinc; Ancha Baranova
Journal:  BMC Syst Biol       Date:  2015-04-15

Review 2.  Network integration and graph analysis in mammalian molecular systems biology.

Authors:  A Ma'ayan
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

Review 3.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

4.  Genoscape: a Cytoscape plug-in to automate the retrieval and integration of gene expression data and molecular networks.

Authors:  Mathieu Clément-Ziza; Christophe Malabat; Christian Weber; Ivan Moszer; Tero Aittokallio; Catherine Letondal; Sandrine Rousseau
Journal:  Bioinformatics       Date:  2009-08-03       Impact factor: 6.937

5.  Entourage: visualizing relationships between biological pathways using contextual subsets.

Authors:  Alexander Lex; Christian Partl; Denis Kalkofen; Marc Streit; Samuel Gratzl; Anne Mai Wassermann; Dieter Schmalstieg; Hanspeter Pfister
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

6.  VANTED v2: a framework for systems biology applications.

Authors:  Hendrik Rohn; Astrid Junker; Anja Hartmann; Eva Grafahrend-Belau; Hendrik Treutler; Matthias Klapperstück; Tobias Czauderna; Christian Klukas; Falk Schreiber
Journal:  BMC Syst Biol       Date:  2012-11-10

7.  Diverse roles and interactions of the SWI/SNF chromatin remodeling complex revealed using global approaches.

Authors:  Ghia M Euskirchen; Raymond K Auerbach; Eugene Davidov; Tara A Gianoulis; Guoneng Zhong; Joel Rozowsky; Nitin Bhardwaj; Mark B Gerstein; Michael Snyder
Journal:  PLoS Genet       Date:  2011-03-03       Impact factor: 5.917

8.  Transcriptome sequencing and annotation of the microalgae Dunaliella tertiolecta: pathway description and gene discovery for production of next-generation biofuels.

Authors:  Hamid Rismani-Yazdi; Berat Z Haznedaroglu; Kyle Bibby; Jordan Peccia
Journal:  BMC Genomics       Date:  2011-03-14       Impact factor: 3.969

9.  Web-based metabolic network visualization with a zooming user interface.

Authors:  Mario Latendresse; Peter D Karp
Journal:  BMC Bioinformatics       Date:  2011-05-19       Impact factor: 3.169

10.  KEGGconverter: a tool for the in-silico modelling of metabolic networks of the KEGG Pathways database.

Authors:  Konstantinos Moutselos; Ioannis Kanaris; Aristotelis Chatziioannou; Ilias Maglogiannis; Fragiskos N Kolisis
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.