SpiderMass
SpiderMass is a software tool that can identify and quantify proteins in complex mixtures. It does this by combining mass spectrometry and machine learning techniques.
SpiderMass first separates the proteins in a complex mixture by mass spectrometry. The separated proteins are then identified by comparing their mass spectra to a database of known proteins. Once the proteins have been identified, their abundances can be quantified using various machine learning techniques.
SpiderMass is a tool for proteomics research. It can be used to identify and quantify proteins in various complex mixtures, including cell lysates, tissue extracts, and biological fluids. SpiderMass has been used to study various biological processes, including cancer, neurodegeneration, and inflammation.
Topic
Metabolomics
Detail
Operation: Isotopic distributions calculation;Aggregation;Natural product identification
Software interface: Command-line user interface;Graphical user interface
Language: C++;Python;C
License: -
Cost: Free
Version name: 1.1
Credit: -
Input: -
Output: -
Contact: robert.winkler@ira.cinvestav.mx
Collection: -
Maturity: -
Publications
- SpiderMass: Semantic database creation and tripartite metabolite identification strategy.
- Winkler R. SpiderMass: Semantic database creation and tripartite metabolite identification strategy. SpiderMass: Semantic database creation and tripartite metabolite identification strategy. 2015; 50:538-41. doi: 10.1002/jms.3559
- https://doi.org/10.1002/jms.3559
- PMID: 25800189
- PMC: -
Download and documentation
Documentation: http://lababi.bioprocess.org/index.php/lababi-software/80-spidermass
Home page: http://lababi.bioprocess.org/index.php/lababi-software/80-spidermass
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