Description | Identify and quantify 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 for quantitation. It Identify and quantify 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 for quantitation. It supports multiple database search algorithms (SEQUEST, Z-Core, Mascot, etc.) and multiple dissociation techniques (CID, HCD, ETD) for more comprehensive analyses.... Read More | Save time in small-molecule identification with Thermo Scientific™ Compound Discoverer™ software. Compound Discoverer software ensures confident compound identification and structural elucidation in applications as diverse as pharmaceutical metabolism, impurity analysis, forensic toxicology, and Save time in small-molecule identification with Thermo Scientific™ Compound Discoverer™ software. Compound Discoverer software ensures confident compound identification and structural elucidation in applications as diverse as pharmaceutical metabolism, impurity analysis, forensic toxicology, and environmental research. The software helps researchers plan how data will be collected, organized, stored and reported with the final result in mind. Its node-assembled processing workflows, advanced algorithms, and study-oriented data storage allow users to quickly process and assemble data collected from multiple samples into a unified report.... Read More | Lipidomics is crucial to understanding cellular physiology and pathology, and lipid profiling for disease phenotype analysis is a rapidly growing area in translational medical research. LC/MS is a powerful technique for the identification and quantitation of cellular lipids. The Thermo Scientific™ Lipidomics is crucial to understanding cellular physiology and pathology, and lipid profiling for disease phenotype analysis is a rapidly growing area in translational medical research. LC/MS is a powerful technique for the identification and quantitation of cellular lipids. The Thermo Scientific™ LipidSearch™ Software processes LC-MS data, including the high-resolution accurate-mass data generated by Thermo Scientific™ Orbitrap™-based mass spectrometers, to make provide accurate lipid identification. It automatically integrates complex data into reports and dramatically reduces data analysis time.... Read More | For biotherapeutic proteins to be effective, they must be produced in biologically active forms with proper folding and post-translation modifications (PTMs). Thermo Scientific™ PepFinder™ software provides accurate identification, in-depth characterization, and relative quantitation of For biotherapeutic proteins to be effective, they must be produced in biologically active forms with proper folding and post-translation modifications (PTMs). Thermo Scientific™ PepFinder™ software provides accurate identification, in-depth characterization, and relative quantitation of biotherapeutic and other proteins from mass spectrometric data. It provides an automated workflows for glycopeptide identification, disulfide bond mapping, and quantification of PTMs. PepFinder software automates previously time-consuming manual processes, processing complex data and integrating the results into concise, informative reports.... Read More | acilitate the transition from proteomic discovery experiments to verification of putative biomarkers and general quantitative proteomics with Thermo Scientific™ Pinpoint™ software. Pinpoint software simplifies development and refinement of targeted quantitative methods. It uses data from previous acilitate the transition from proteomic discovery experiments to verification of putative biomarkers and general quantitative proteomics with Thermo Scientific™ Pinpoint™ software. Pinpoint software simplifies development and refinement of targeted quantitative methods. It uses data from previous discovery experiments to predict proteotypic peptides and determine the best SRM transitions. It also provides tools for evaluating preliminary data so that only peptides showing the best response are retained in the final intelligent SRM (iSRM) method.... Read More |