title: Bioinformatics in mass spectrometry data analysis for proteomics studies.
abstract: Mass spectrometry is a technique widely employed for the identification and characterization of proteins. The role of bioinformatics is fundamental for the elaboration of mass spectrometry data due to the amount of data that this technique can produce. To process data efficiently, new software packages and algorithms are continuously being developed to improve protein identification and characterization in terms of high-throughput and statistical accuracy. However, many limitations exist concerning bioinformatics spectral data elaboration. This review aims to critically cover the recent and future developments of new bioinformatics approaches in mass spectrometry data analysis for proteomics studies.
authors.affiliation: Università degli Studi di Milano, Via Fratelli Cervi 93, 20090 Segrate, Milan, Italy. dtoycr@tin.it
authors.forename: Simone
authors.initials: S
authors.lastname: Cristoni
authors.forename: Luigi Rossi
authors.initials: LR
authors.lastname: Bernardi
mesh_terms: D019295:Computational Biology; D020543:Proteome / Q000737:chemistry* / Q000302:isolation & purification; D040901:Proteomics / Q000379:methods*; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D013057:Spectrum Analysis / Q000379:methods*
chemical_list: D020543:Proteome