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Bioinformatics. 2015 Mar 1;31(5):767-9. doi: 10.1093/bioinformatics/btu700. Epub 2014 Oct 22.

Waggawagga: comparative visualization of coiled-coil predictions and detection of stable single α-helices (SAH domains).

Author information

1
Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.

Abstract

Waggawagga is a web-based tool for the comparative visualization of coiled-coil predictions and the detection of stable single α-helices (SAH domains). Overview schemes show the predicted coiled-coil regions found in the query sequence and provide sliders, which can be used to select segments for detailed helical wheel and helical net views. A window-based score has been developed to predict SAH domains. Export to several bitmap and vector graphics formats is supported.

AVAILABILITY AND IMPLEMENTATION:

http://waggawagga.motorprotein.de

PMID:
25338722
DOI:
10.1093/bioinformatics/btu700
[Indexed for MEDLINE]

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