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

MPG-Autoren
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Simm,  D.
Research Group of Systems Biology of Motor Proteins, MPI for Biophysical Chemistry, Max Planck Society;

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Hatje,  K.
Research Group of Systems Biology of Motor Proteins, MPI for Biophysical Chemistry, Max Planck Society;

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Kollmar,  M.
Research Group of Systems Biology of Motor Proteins, MPI for Biophysical Chemistry, Max Planck Society;

Externe Ressourcen

http://bioinformatics.oxfordjournals.org/content/early/2014/11/14/bioinformatics.btu700.full.pdf+html
(Verlagsversion)

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Zitation

Simm, D., Hatje, K., & Kollmar, M. (2015). Waggawagga: Comparative visualization of coiled-coil predictions and detection of stable single α-helices (SAH domains). Bioinformatics, 31(5), 767-769. doi:10.1093/bioinformatics/btu700.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0024-4B82-7
Zusammenfassung
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.