Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
See all formats and pricing
More options …
Volume 7, Issue 3

Issues

Novel Developments of the MetaCrop Information System for Facilitating Systems Biological Approaches

Klaus Hippe
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Christian Colmsee
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Tobias Czauderna
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Eva Grafahrend-Belau
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Björn H. Junker
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Christian Klukas
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Uwe Scholz
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Falk Schreiber
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben Germany
  • Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Stephan Weise
  • Corresponding author
  • Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstr. 3, 06466 Gatersleben, Germany
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2010-125

Summary

Crop plants play a major role in human and animal nutrition and increasingly contribute to chemical or pharmaceutical industry and renewable resources. In order to achieve important goals, such as the improvement of growth or yield, it is indispensable to understand biological processes on a detailed level. Therefore, the well-structured management of fine-grained information about metabolic pathways is of high interest. Thus, we developed the MetaCrop information system, a manually curated repository of high quality information concerning the metabolism of crop plants. However, the data access to and flexible export of information of MetaCrop in standard exchange formats had to be improved. To automate and accelerate the data access we designed a set of web services to be integrated into external software. These web services have already been used by an add-on for the visualisation toolkit VANTED. Furthermore, we developed an export feature for the MetaCrop web interface, thus enabling the user to compose individual metabolic models using SBML.

About the article

Published Online: 2016-10-18

Published in Print: 2010-12-01


Citation Information: Journal of Integrative Bioinformatics, Volume 7, Issue 3, Pages 147–155, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2010-125.

Export Citation

© 2010 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

Comments (0)

Please log in or register to comment.
Log in