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Presented by Richard Jacob, Matrix Science. Error tolerant sequence tags are a powerful way of finding unknown modifications. Using Distiller to call tags manually and automatically. Database searching of sequence tags using Mascot. A general strategy for discovery proteomics. This video is part of the classic Mascot training course recorded in 2014. For up to date training material and tutorials, please check our Youtube channel and visit our website: https://www.matrixscience.com/trainin... Mascot Server product details: https://www.matrixscience.com/server.... Mascot Distiller product details: https://www.matrixscience.com/distill... External publications: Error-Tolerant Identification of Peptides in Sequence Databases by Peptide Sequence Tags, http://dx.doi.org/10.1021/ac00096a002 MultiTag: Multiple Error-Tolerant Sequence Tag Search for the Sequence-Similarity Identification of Proteins by Mass Spectrometry, http://dx.doi.org/10.1021/ac026199a GutenTag: High-Throughput Sequence Tagging via an Empirically Derived Fragmentation Model, http://dx.doi.org/10.1021/ac0347462 Charting the Proteomes of Organisms with Unsequenced Genomes by MALDI-Quadrupole Time-of-Flight Mass Spectrometry and BLAST Homology Searching, http://dx.doi.org/10.1021/ac0013709 Getting More from Less: Algorithms for Rapid Protein Identification with Multiple Short Peptide Sequences, http://dx.doi.org/10.1074/mcp.M100004... High-Throughput Identification of Proteins and Unanticipated Sequence Modifications Using a Mass-Based Alignment Algorithm for MS/MS de Novo Sequencing Results, http://dx.doi.org/10.1021/ac035258x Searching Sequence Databases via De Novo Peptide Sequencing by Tandem Mass Spectrometry, http://dx.doi.org/10.1385/1-59259-045...