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Mascot is a software search engine that uses mass spectrometry data to identify proteins from peptide sequence databases. [ 1 ] [ 2 ] Mascot is widely used by research facilities around the world. Mascot uses a probabilistic scoring algorithm for protein identification that was adapted from the MOWSE algorithm.
InsPecT is an MS-alignment search algorithm developed by the Center for Computational Mass Spectrometry at the University of California, San Diego. [5] Mascot: Proprietary: Mascot performs mass spectrometry data analysis through a statistical evaluation of matches between observed and projected peptide fragments. [6] MassMatrix: Freeware
The MOWSE algorithm was developed by Darryl Pappin at the Imperial Cancer Research Fund and Alan Bleasby at the SERC Daresbury Laboratory. [2] The probability-based MOWSE score formed the basis of development of Mascot, a proprietary software for protein identification from mass spectrometry data.
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The company distributes a number of science reagents and assay kits, including custom recombinant proteins and antibodies, real time PCR and quantitative ELISA kits. The company's current catalog lists over 1 million individual products used in academic, biotechnological, and pharmaceutical industries.
PEAKS inChorus will cross check test results automatically with other protein ID search engines, like Sequest, OMSSA, X!Tandem and Mascot. This approach guards against false positive peptide assignments. PEAKS Q is an add-on tool for protein quantification, supporting label (ICAT, iTRAQ, SILAC, TMT, 018, etc.) and label free techniques.
The structures of TMT tags are publicly available through the unimod database at unimod.org and hence, mass spectrometry software such as Mascot are able to account for the tag masses. Additionally, as of version 2.2, Mascot has the capability to quantify using TMT and other isobaric mass tags without the use of additional software. Intuitively ...
The software evaluates protein sequences from a database to compute the list of peptides that could result from each. The peptide's intact mass is known from the mass spectrum, and Sequest uses this information to determine the set of candidate peptides sequences that could meaningfully be compared to the spectrum by including only those near ...