Bruker Expands dia-PASEF® on the timsTOF 4D Proteomics and Epiproteomics Platform to Identify up to 13,000 Protein Groups with 1% FDR
The novel TIMScore algorithm takes advantage of machine learning (ML) to predict CCS values of tryptic and phosphorylated peptides.
- The novel TIMScore algorithm takes advantage of machine learning (ML) to predict CCS values of tryptic and phosphorylated peptides.
- TIMScore could separate 19% of the coeluting isomer pairs, refining the view of the phosphoproteome of a human osteosarcoma cell line.
- Dr. Tenzer commented: In our lab we use four timsTOF systems to understand posttranslational modifications and signaling pathways.
- PaSER utilizes data streaming for dia-PASEF workflows in real-time, supporting run & done for high-throughput 4D proteomics and 4D epiproteomics workflows.