1. The Helmholtz Network for Bioinformatics: an integrative web portal for bioinformatics resources
- Author
-
R. Schneider, S. Schulze-Kremer, Stephan Springstubbe, Edgar Wingender, Ralf Zimmer, K. Meissner, R. Basekow, J. Warfsmann, C. Buning, Peter Ernst, Martin Mokrejs, Christian Ebeling, K. Schwarzer, O. Kießlich, Karl-Heinz Glatting, Matthias Rarey, Thomas Werner, I. Liebich, Iris E. C. Sommer, M. Van Der Linden, Tobias Müller, Jens Reich, H.-T. Mevissen, F. Gößling, Martin Vingron, Peer Bork, Torsten Crass, Jan O. Korbel, Hans-Werner Mewes, S. Kolibal, Holger Claußen, Sean O'Keeffe, Holger Michael, Alexander Herrmann, Sándor Suhai, Iris Antes, D. Wetzler, Hannes Luz, Korbinian Grote, R. Gohla, Heike Pospisil, V. Gailus-Durner, K. Heidtke, Gnanasekaran Thoppae, Dietmar Schomburg, Thomas Lengauer, M. Christensen, and C. Von Mering
- Subjects
Statistics and Probability ,Research groups ,Computer science ,0206 medical engineering ,Information Storage and Retrieval ,02 engineering and technology ,Bioinformatics ,Biochemistry ,World Wide Web ,User-Computer Interface ,03 medical and health sciences ,symbols.namesake ,Resource (project management) ,Sequence Analysis, Protein ,Germany ,Server ,Molecular Biology ,030304 developmental biology ,Internet ,0303 health sciences ,ExPASy ,Computational Biology ,Sequence Analysis, DNA ,Computer Science Applications ,Computational Mathematics ,Interinstitutional Relations ,Computational Theory and Mathematics ,Helmholtz free energy ,symbols ,Database Management Systems ,Algorithms ,Software ,020602 bioinformatics - 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. Availability: The HNB portal is available at http://www.hnbioinfo.de
- Published
- 2004
- Full Text
- View/download PDF