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5 software items found
by:Proteome Software, Inc. based inPortland, OREGON (USA)
Scaffold DIA is a versatile software designed for data-independent acquisition (DIA) proteomics analysis. It stands out by enabling the analysis of raw DIA data against various data-dependent acquisition (DDA) library formats, including Prosit predictions and custom DIA-only libraries. This flexibility allows users to process data from major instrument vendors like Thermo, Sciex, and Agilent ...
by:Proteome Software, Inc. based inPortland, OREGON (USA)
Scaffold 5, developed by Proteome Software, is a prominent data-dependent acquisition (DDA) MS/MS proteomics tool that facilitates researchers in processing complex proteomic data. It integrates seamlessly with MS Fragger for direct raw data searches and supports loading precursor intensity data from FragPipe. Users can also import data from other platforms such as Mascot, Proteome Discoverer, ...
by:Proteome Software, Inc. based inPortland, OREGON (USA)
Proteome Software's suite of Scaffold products offers a comprehensive solution for the identification and quantification of small molecules through LC-MS analysis, catering to researchers who demand both elegance and simplicity in their data processing workflows. Compatible with raw data from leading vendor instrumentation like Thermo, Sciex, and Agilent, Scaffold supports both MS1 and MS/MS ...
by:Proteome Software, Inc. based inPortland, OREGON (USA)
Scaffold DDA is a quantitative analysis platform developed by Proteome Software to facilitate experiment-driven labeled and label-free analysis. Designed primarily for the processing of iTRAQ, TMT, and SILAC data, Scaffold DDA integrates with multiple search engines, including Sage and MSFragger, to offer versatile analytical capabilities. It supports quantification of differential expression and ...
by:Proteome Software, Inc. based inPortland, OREGON (USA)
The Scaffold Q+S software suite by Proteome Software provides a comprehensive set of tools for quantitative analysis in proteomics. It supports quantification using various labeling techniques such as iTRAQ, TMT, and SILAC, along with precursor intensity values. The platform enables the visualization of protein-level changes across samples through fold changes, intensity values, or quantitative ...