Thermo Scientific™ Proteome Discoverer Software

Description

Identify and quantify peptides and proteins in complex biological samples using Thermo Scientific™ Proteome Discoverer™ software. Proteome Discoverer software simplifies a wide range of proteomics workflows, from protein and peptide identification to PTM analysis to isobaric mass tagging and both SILAC and label-free quantitation. It supports multiple database search algorithms and multiple dissociation techniques. Go beyond searching to discovering with intelligent INFERYS™ Rescoring and the CHIMERYS™ intelligent search algorithm by MSAID to substantially increase the number of unique peptide identifications.

Proteome Discoverer software supports multiple dissociation techniques, quantitation technologies, and database search algorithms for comprehensive protein identification, characterization, and quantitation.

Comprehensive

• Provides a choice of search algorithms (SEQUEST™ HT, Mascot, MS Amanda, Byonic™, ProsightPD™) and can combine output from multiple algorithms to maximize and cross-validate results
• Find more with the intelligent INFERYS Rescoring and CHIMERYS algorithms
• Supports multiple dissociation techniques (HCD, CID, ETD, and UVPD) for more complete coverage and confident identification of PTMs
• Supports isobaric mass tagging (TMT, iTRAQ), isotopic labeling (SILAC), and label-free quantification
• Validates peptide and protein IDs with false discovery rate (FDR)

Productive and Extensible

• Automates data analysis and simplifies MSⁿ data analysis through pre-built and customizable workflows
• Includes study management for mapping of quantitation to biological information about the sample
• Use results to refine data collecting, such as exporting inclusion and exclusion lists for import directly into instrument methods
• Illustrates biological context by automatically annotating identified proteins with GO classifications, PTM sites, and literature references from public databases
• Facilitates data comparison, exchange, and verification with support for data standards developed by the HUPO Proteomics Standards Initiative (PSI)
• Supports third party nodes for data processing and enables processing of large datasets
• Fast, robust algorithms empowered by artificial intelligence for peak selection and peptide quantification to extract more information
• Obtain reliable statistics and validate quantification results visually