Language That Unlocks Discovery
Master the science of Next-Generation Protein Sequencing™
Pulse Calling
[ PULS KAW-ling ]
Real-time fluorescence signal capture achieves single-molecule accuracy and high-throughput resolution for proteomic analysis
Pulse Calling
[ PULS KAW-ling ]
Real-time fluorescence signal capture achieves single-molecule accuracy and high-throughput resolution for proteomic analysis
Recognition Segment Detection
[ rek-ug-NISH-un SEG-munt dih-TEK-shun ]
High-precision detection of amino acid sequences improves accuracy in identifying substitutions and proteoform isoforms
Recognition Segment Detection
[ rek-ug-NISH-un SEG-munt dih-TEK-shun ]
High-precision detection of amino acid sequences improves accuracy in identifying substitutions and proteoform isoforms
Kinetic Signatures
[ kih-NET-ik SIG-nuh-churs ]
Unique amino acid binding patterns that enable precise detection of protein variants, revealing subtle proteoform changes missed by traditional methods.
Kinetic Signatures
[ kih-NET-ik SIG-nuh-churs ]
Unique amino acid binding patterns that enable precise detection of protein variants, revealing subtle proteoform changes missed by traditional methods.
Proteoforms
[PRO-tee-oh-forms ]
Variations in protein structures, including PTMs and isoforms, provide critical insights into disease mechanisms and drug discovery
Proteoforms
[PRO-tee-oh-forms ]
Variations in protein structures, including PTMs and isoforms, provide critical insights into disease mechanisms and drug discovery
Variant Ratios
[ VAIR-ee-unt RAY-shee-ohs ]
Quantitative measures of variant occurrences enhance reliability in population-scale proteomics and biomarker identification
Variant Ratios
[ VAIR-ee-unt RAY-shee-ohs ]
Quantitative measures of variant occurrences enhance reliability in population-scale proteomics and biomarker identification
Kinetic Database
[ kih-NET-ik DAY-tuh-bays ]
Al-powered prediction of kinetic signatures supports scalable, high-throughput workflows for complex proteomics analysis
Kinetic Database
[ kih-NET-ik DAY-tuh-bays ]
Al-powered prediction of kinetic signatures supports scalable, high-throughput workflows for complex proteomics analysis