Literature DB >> 22383037

Creating interactive, web-based and data-enriched maps with the Systems Biology Graphical Notation.

Astrid Junker1, Hendrik Rohn, Tobias Czauderna, Christian Klukas, Anja Hartmann, Falk Schreiber.   

Abstract

The Systems Biology Graphical Notation (SBGN) is an emerging standard for the uniform representation of biological processes and networks. By using examples from gene regulation and metabolism, this protocol shows the construction of SBGN maps by either manual drawing or automatic translation using the tool SBGN-ED. In addition, it discusses the enrichment of SBGN maps with different kinds of -omics data to bring numerical data into the context of these networks in order to facilitate the interpretation of experimental data. Finally, the export of such maps to public websites, including clickable images, supports the communication of results within the scientific community. With regard to the described functionalities, other tools partially overlap with SBGN-ED. However, currently, SBGN-ED is the only tool that combines all of these functions, including the representation in SBGN, data mapping and website export. This protocol aims to assist scientists with the step-by-step procedure, which altogether takes ∼90 min.

Mesh:

Year:  2012        PMID: 22383037     DOI: 10.1038/nprot.2012.002

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  25 in total

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Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Editing, validating and translating of SBGN maps.

Authors:  Tobias Czauderna; Christian Klukas; Falk Schreiber
Journal:  Bioinformatics       Date:  2010-07-13       Impact factor: 6.937

3.  Supporting the SBML layout extension.

Authors:  Anastasia Deckard; Frank T Bergmann; Herbert M Sauro
Journal:  Bioinformatics       Date:  2006-10-11       Impact factor: 6.937

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-19       Impact factor: 11.205

Review 5.  Tools for visually exploring biological networks.

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Journal:  Bioinformatics       Date:  2007-08-25       Impact factor: 6.937

Review 6.  Visualization of omics data for systems biology.

Authors:  Nils Gehlenborg; Seán I O'Donoghue; Nitin S Baliga; Alexander Goesmann; Matthew A Hibbs; Hiroaki Kitano; Oliver Kohlbacher; Heiko Neuweger; Reinhard Schneider; Dan Tenenbaum; Anne-Claude Gavin
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

Review 7.  Biochemical modeling with Systems Biology Graphical Notation.

Authors:  Andreas Jansson; Mats Jirstrand
Journal:  Drug Discov Today       Date:  2010-03-06       Impact factor: 7.851

Review 8.  A comprehensive map of the mTOR signaling network.

Authors:  Etienne Caron; Samik Ghosh; Yukiko Matsuoka; Dariel Ashton-Beaucage; Marc Therrien; Sébastien Lemieux; Claude Perreault; Philippe P Roux; Hiroaki Kitano
Journal:  Mol Syst Biol       Date:  2010-12-21       Impact factor: 11.429

9.  MetaCrop 2.0: managing and exploring information about crop plant metabolism.

Authors:  Falk Schreiber; Christian Colmsee; Tobias Czauderna; Eva Grafahrend-Belau; Anja Hartmann; Astrid Junker; Björn H Junker; Matthias Klapperstück; Uwe Scholz; Stephan Weise
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  11 in total

1.  Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.

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Journal:  Methods Mol Biol       Date:  2019

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3.  Visual analysis of transcriptome data in the context of anatomical structures and biological networks.

Authors:  Astrid Junker; Hendrik Rohn; Falk Schreiber
Journal:  Front Plant Sci       Date:  2012-11-15       Impact factor: 5.753

4.  OPTIMAS-DW: a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize.

Authors:  Christian Colmsee; Martin Mascher; Tobias Czauderna; Anja Hartmann; Urte Schlüter; Nina Zellerhoff; Jessica Schmitz; Andrea Bräutigam; Thea R Pick; Philipp Alter; Manfred Gahrtz; Sandra Witt; Alisdair R Fernie; Frederik Börnke; Holger Fahnenstich; Marcel Bucher; Thomas Dresselhaus; Andreas Pm Weber; Falk Schreiber; Uwe Scholz; Uwe Sonnewald
Journal:  BMC Plant Biol       Date:  2012-12-29       Impact factor: 4.215

5.  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

6.  Translation of SBGN maps: Process Description to Activity Flow.

Authors:  Torsten Vogt; Tobias Czauderna; Falk Schreiber
Journal:  BMC Syst Biol       Date:  2013-10-31

7.  Aadh2p: an Arxula adeninivorans alcohol dehydrogenase involved in the first step of the 1-butanol degradation pathway.

Authors:  Marion Rauter; Jakub Kasprzak; Karin Becker; Jan Riechen; Sebastian Worch; Anja Hartmann; Martin Mascher; Uwe Scholz; Kim Baronian; Rüdiger Bode; Frieder Schauer; H Matthias Vorbrodt; Gotthard Kunze
Journal:  Microb Cell Fact       Date:  2016-10-12       Impact factor: 5.328

8.  Mental-Map Preserving Visualisation of Partitioned Networks in Vanted.

Authors:  Dimitar Garkov; Karsten Klein; Christian Klukas; Falk Schreiber
Journal:  J Integr Bioinform       Date:  2019-06-14

9.  Agdc1p - a Gallic Acid Decarboxylase Involved in the Degradation of Tannic Acid in the Yeast Blastobotrys (Arxula) adeninivorans.

Authors:  Anna K Meier; Sebastian Worch; Erik Böer; Anja Hartmann; Martin Mascher; Marek Marzec; Uwe Scholz; Jan Riechen; Kim Baronian; Frieder Schauer; Rüdiger Bode; Gotthard Kunze
Journal:  Front Microbiol       Date:  2017-09-15       Impact factor: 5.640

10.  Modelling the Structure and Dynamics of Biological Pathways.

Authors:  Laura O'Hara; Alessandra Livigni; Thanos Theo; Benjamin Boyer; Tim Angus; Derek Wright; Sz-Hau Chen; Sobia Raza; Mark W Barnett; Paul Digard; Lee B Smith; Tom C Freeman
Journal:  PLoS Biol       Date:  2016-08-10       Impact factor: 8.029

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