Computational Methods in Mass Spectrometry-Based Proteomics.
This chapter introduces computational methods used in mass spectrometry-based proteomics, including those for addressing the critical problems such as peptide identification and protein inference, peptide and protein quantification, characterization of posttranslational modifications (PTMs), and data-independent acquisitions (DIA). The chapter concludes with emerging applications of proteomic techniques, such as metaproteomics, glycoproteomics, and proteogenomics.
School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Sujun
S
Li
School of Informatics and Computing, Indiana University, Bloomington, IN, USA. hatang@indiana.edu.
Haixu
H
Tang
D000465:Algorithms; D030562:Databases, Protein; D010455:Peptides / Q000737:chemistry*; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software; D053719:Tandem Mass Spectrometry / Q000379:methods*
D010455:Peptides; D011506:Proteins
Algorithms; Mass spectrometry; Post-translational modifications; Protein identification; Protein quantification; Proteomics