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

Crass, T.; Antes, I.; Basekow, R.; Bork, P.; Buning, C.; Christensen, M.; Claußen, H.; Ebeling, C.; Ernst, P.; Gailus-Durner, V.; Glatting, K.-H.; Gohla, R.; Gößling, F.; Grote, K.; Heidtke, K.; Herrmann, A.; O'Keeffe, S.; Kießlich, O.; Kolibal, S.; Korbel, J. O.; Lengauer, T.; Liebich, I.; van der Linden, M.; Luz, H.; Meissner, K.; von Mering, C.; Mevissen, H.-T.; Mewes, H.-W.; Michael, H.; Mokrejs, M.; Müller, T.; Pospisil, H.; Rarey, M.; Reich, J. G.; Schneider, R.; Schomburg, D.; Schulze-Kremer, S.; Schwarzer, K.; Sommer, I.; Springstubbe, S.; Suhai, S.; Thoppae, G.; Vingron, Martin; Warfsmann, J.; Werner, T.; Wetzler, D.; Wingender, E.; Zimmer, R.

doi:0.11093/bioinformatics/btg398

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

MPG-Autoren

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Luz, H.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

Müller, T.
Max Planck Society;

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Schneider, R.
Dept. of Human Molecular Genetics (Head: Hans-Hilger Ropers), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Vingron, Martin
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Zitation

Crass, T., Antes, I., Basekow, R., Bork, P., Buning, C., Christensen, M., et al. (2004). The Helmholtz Network for Bioinformatics: an integrative web portal for bioinformatics resources. Bioinformatics, 20(2), 268-270. doi:0.11093/bioinformatics/btg398.

Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0010-88DF-C

Zusammenfassung

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.