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The Helmholtz Network for Bioinformatics: An integrative web portal for bioinformatics resources

  • Torsten Crass*
  • , I. Antes
  • , R. Basekow
  • , P. Bork
  • , C. Buning
  • , M. Christensen
  • , H. Claußen
  • , C. Ebeling
  • , P. Ernst
  • , V. Gailus-Durner
  • , K. H. Glatting
  • , R. Gohla
  • , F. Gößling
  • , K. Grote
  • , K. Heidtke
  • , A. Hermann
  • , S. O'Keeffe
  • , O. Kießlich
  • , S. Kolibal
  • , J. O. Korbel
  • T. Lengauer, I. Liebich, M. van der Linden, H. Luz, K. Meissner, C. von Mering, H. T. Mevissen, H. W. Mewes, H. Michael, M. Mokrejs, T. Müller, H. Pospisil, M. Rarey, J. G. Reich, R. Schneider, D. Schomburg, S. Schulze-Kremer, K. Schwarzer, I. Sommer, S. Springstubbe, S. Suhai, G. Thoppae, M. Vingron, J. Warsfmann, T. Werner, D. Wetzler, E. Wingender, R. Zimmer
*Corresponding author for this work
  • University of Göttingen
  • Max Planck Institute for Informatics
  • Genomforschung GmbH
  • European Molecular Biology Laboratory
  • Max-Delbrück-Center for Molecular Medicine
  • Fraunhofer Institute for Algorithms and Scientific Computing SCAI
  • University of Cologne
  • German Cancer Research Center
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Helmholtz Centre for Infection Research
  • Max Planck Institute for Molecular Genetics
  • Institute for Bioinformatics
  • Ludwig Maximilian University of Munich

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Summary: The Helmholtz Network for Bioinformatics (HNB) is a joint venture of eleven German bioinformatics research groups that offers convenient access to numerous bioinformatics resources through a single web portal. The 'Guided Solution Finder' which is available through the HNB portal helps users to locate the appropriate resources to answer their queries by employing a detailed, tree-like questionnaire. Furthermore, automated complex tool cascades ('tasks'), involving resources located on different servers, have been implemented, allowing users to perform comprehensive data analyses without the requirement of further manual intervention for data transfer and re-formatting. Currently, automated cascades for the analysis of regulatory DNA segments as well as for the prediction of protein functional properties are provided.

Original languageEnglish
Pages (from-to)268-270
Number of pages3
JournalBioinformatics
Volume20
Issue number2
DOIs
StatePublished - 22 Jan 2004
Externally publishedYes

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