Mascot search engine | Protein identification software for mass spec data (original) (raw)
Mascot: The trusted reference standard for protein identification by mass spectrometry for 25 years
Mascot is the benchmark for identification, characterisation and quantitation of proteins using mass spectrometry data. It is the trusted reference standard for over 25 years and continues to be cited byover 2000 publications every year.
Learn more about the tools developed by Matrix Science to get the best out of your data, whatever your chosen instrument. Mascot is a great choice forresearchers,core labs,industry andeducators.
Blog
August 14, 2024
A release candidate of the next version of Mascot Server is running on this website. One of the headline features [...]
News
August 12, 2024
This website is now running a Mascot Server 3.0 release candidate, which is undergoing extensive beta testing. What’s new in [...]
Mascot Server
Mascot Server is a powerful search engine for identifying proteins and peptides from primary sequence databases using mass spectrometry data. Fast, parallel execution is combined with probabilistic scoring, chemical and post-translational modifications, iTRAQ/TMT quantitation, robust FDR estimation, top-down protein identification, Percolator rescoring, spectral libraries, intact crosslinking, and more.
The free service running on this website is ideal for evaluation and searching smaller data sets, as well as training courses. For large scale and routine work, you'll want tolicense Mascot Server to run in-house.
Mascot Distiller
Mascot Distiller offers a single, graphical user interface to native (binary) data files from Agilent, AB Sciex, Bruker, Shimadzu, Thermo and Waters. Process raw data into high quality, de-isotoped peak lists. Identify proteins with Mascot database search and_de novo_ sequencing, and quantify proteins using isobaric, isotopic and label-free methods. Automate all steps using Mascot Daemon. Distiller can be used for free in read-only mode as a project viewer, ideal for distributing search and quantitation results to colleagues.