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

Simm, D.; Hatje, K.; Kollmar, M.

doi:10.1093/bioinformatics/btu700

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

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-4B82-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-22FB-C

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Creators:
Simm, D.¹, Author
Hatje, K.¹, Author
Kollmar, M.¹, Author

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1Research Group of Systems Biology of Motor Proteins, MPI for Biophysical Chemistry, Max Planck Society, ou_578570

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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.

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Language(s): eng - English

Dates: Published Online: 2014-10-22Date issued: 2015-03-01

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1093/bioinformatics/btu700

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Title: Bioinformatics

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Pages: - Volume / Issue: 31 (5) Sequence Number: - Start / End Page: 767 - 769 Identifier: -