Mass Spectrometry Data Analysis in Proteomics
Mass spectrometry data analysis processes raw spectra to identify peptides and proteins through database searching and de novo sequencing.
Phosphoproteomics: Mapping Phosphorylation Events
Phosphoproteomics identifies and quantifies phosphorylation sites to study cellular signaling pathways.
Protein Identification by Mass Spectrometry
Protein identification uses peptide mass fingerprints and tandem mass spectra to match samples against protein sequence databases.
Protein-Protein Interaction Networks
Protein-protein interaction networks map the physical contacts between proteins to understand cellular function and disease mechanisms.
Proteomics Bioinformatics: Analyzing Protein Data
Proteomics bioinformatics develops computational methods to identify, quantify, and characterize proteins from mass spectrometry data.
Quantitative Proteomics: Measuring Protein Abundance
Quantitative proteomics uses labeling strategies and label-free methods to measure relative or absolute protein abundances.
Targeted Proteomics: SRM and MRM Methods
Targeted proteomics uses selected reaction monitoring to quantify specific proteins with high sensitivity and reproducibility.
Top-Down Proteomics: Analyzing Intact Proteins
Top-down proteomics analyzes intact proteins without digestion, preserving information about proteoforms and post-translational modifications.