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Timstof Pro 2

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Lab Devices
Bruker
Timstof Pro 2

Analyze Bruker timsTOF Pro 2 LC-MS/MS QTOF with Ion Mobility data with AI

Advanced LC-MS/MS QTOF with trapped ion mobility for deep proteome profiling

Specification: Trapped Ion Mobility (TIMS) for 4D separation

Specification: PASEF for rapid MS/MS acquisition

Resolution: Ultra-high resolution QTOF

Specification: nanoLC interface compatibility

Specification: Advanced proteomics capabilities

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your timsTOF Pro 2 data into Sourcetable in 3 simple steps

Export Data

Export proteomics data from your timsTOF Pro 2 via DataAnalysis software to CSV format for peptide quantification
Upload to Sourcetable

Import your proteomics identification data and quantitative results into Sourcetable for analysis
Start Analysis

Perform automated peptide identification and generate comprehensive proteomics analysis reports

File Format Compatibility

Complete support for timsTOF Pro 2 proteomics data including peptide identification and label-free quantification for biotech applications.

.csv

Raw Data

Full Support Export peptide identification and quantification tables Peptide IDs, protein intensities, post-translational modifications, ion mobility data

Pre-built Analysis Workflows

Advanced proteomics workflows with ion mobility separation and high-speed MS/MS acquisition for comprehensive protein analysis.

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Proteome Profiling

Deep proteome analysis with trapped ion mobility separation

Proteomics TIMS Profiling

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Label-free Quantification

Quantitative proteomics analysis without chemical labeling

Quantification Label-free Proteomics

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PTM Analysis

Post-translational modification identification and characterization

PTM Modifications Characterization

Technical Requirements

Software Dependencies

timsTOF Pro 2 LC-MS/MS QTOF with trapped ion mobility spectrometry
Control Software Bruker DataAnalysis, PEAKS, MaxQuant
File Export Format Bruker .d, mgf/mzML, CSV
Applications Proteomics research, biotechnology, pharmaceutical development

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis pyOpenMS, seaborn

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