Thermo Scientific - Proteome Discoverer Software

Thermo Scientific Proteome Discoverer Software

Used - unit is in working condition, please see photos for details. Includes everything pictured. Unit will be tested before shipping.

Description

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, Z-Core, Mascot Byonic, etc.) and can combine output from multiple algorithms to maximize and cross-validate results
• Supports multiple dissociation techniques (CID, HCD, and ETD) for more complete coverage and confident identification of PTMs
• Supports isobaric mass tagging (TMT, iTRAQ) and heavy-peptide techniques, enabling relative or absolute quantitation
• Validates protein IDs with false discovery rate (FDR) determination

Productive and Expandable

• Automates data analysis, and simplifies MSn data analysis through wizards and customizable workflows
• Provides effective location of low-level sample components using creative data interrogation strategies such as generating inclusion and exclusion lists and importing those lists directly into instrument methods
• Illustrates biological context by automatically annotating identified proteins with GO classifications, PTMs 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) 
• Provides a seamless transition from Thermo Scientific™ BioWorks™ platform using the SRF file import wizard
• Expands through the integration of custom software tools
• Supports third party nodes for data processing, and enables processing of large datasets and persistent reports
• Fast, robust algorithms for peak selection and peptide quantification to extract the maximum possible information from quantitative proteomics studies
• Obtain reliable statistics and validate quantification results visually