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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: http://hdl.handle.net/11858/00-001M-0000-0024-4B82-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-22FB-C
Genre: Journal Article

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2077176.pdf (Publisher version), 644KB
 
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 Creators:
Simm, D.1, Author              
Hatje, K.1, Author              
Kollmar, M.1, Author              
Affiliations:
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: 2014-10-222015-03-01
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1093/bioinformatics/btu700
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Title: Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 31 (5) Sequence Number: - Start / End Page: 767 - 769 Identifier: -