ProXL (Protein Cross-Linking Database): A Platform for Analysis, Visualization, and Sharing of Protein Cross-Linking Mass Spectrometry Data.
ProXL is a Web application and accompanying database designed for sharing, visualizing, and analyzing bottom-up protein cross-linking mass spectrometry data with an emphasis on structural analysis and quality control. ProXL is designed to be independent of any particular software pipeline. The import process is simplified by the use of the ProXL XML data format, which shields developers of data importers from the relative complexity of the relational database schema. The database and Web interfaces function equally well for any software pipeline and allow data from disparate pipelines to be merged and contrasted. ProXL includes robust public and private data sharing capabilities, including a project-based interface designed to ensure security and facilitate collaboration among multiple researchers. ProXL provides multiple interactive and highly dynamic data visualizations that facilitate structural-based analysis of the observed cross-links as well as quality control. ProXL is open-source, well-documented, and freely available at https://github.com/yeastrc/proxl-web-app .
Department of Biochemistry, University of Washington , Seattle, Washington 98195, United States.|Department of Genome Sciences, University of Washington , Seattle, Washington 98195, United States.
Michael
M
Riffle
Department of Biochemistry, University of Washington , Seattle, Washington 98195, United States.
Daniel
D
Jaschob
Department of Biochemistry, University of Washington , Seattle, Washington 98195, United States.
Alex
A
Zelter
Department of Biochemistry, University of Washington , Seattle, Washington 98195, United States.
Trisha N
TN
Davis
D003432:Cross-Linking Reagents; D030562:Databases, Protein; D033181:Information Dissemination / Q000379:methods*; D020407:Internet; D000070516:Intersectoral Collaboration; D013058:Mass Spectrometry; D014584:User-Computer Interface
D003432:Cross-Linking Reagents
bioinformatics; cross-linking; data visualization; database; proteomics; software; structure