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

Dominic Simm | Zendy; Klas Hatje | Zendy; Martin Kollmar | Zendy

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

Author(s) -

Dominic Simm,

Klas Hatje,

Martin Kollmar

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu700

Subject(s) - visualization , bitmap , electromagnetic coil , computer science , coiled coil , graphics , sequence (biology) , window (computing) , computer graphics (images) , data mining , chemistry , physics , world wide web , biochemistry , quantum mechanics

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.

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