title: Platforms and Pipelines for Proteomics Data Analysis and Management.
abstract: Since mass spectrometry was introduced as the core technology for large-scale analysis of the proteome, the speed of data acquisition, dynamic ranges of measurements, and data quality are continuously improving. These improvements are triggered by regular launches of new methodologies and instruments.
authors.affiliation: Quantitative Biology Center (QBiC), University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany.
authors.forename: Marius Cosmin
authors.initials: MC
authors.lastname: Codrea
authors.affiliation: Quantitative Biology Center (QBiC), University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany. sven.nahnsen@uni-tuebingen.de.
authors.forename: Sven
authors.initials: S
authors.lastname: Nahnsen
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D030562:Databases, Protein; D057166:High-Throughput Screening Assays; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D011506:Proteins / Q000032:analysis*; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012984:Software; D057188:Workflow
chemical_list: D011506:Proteins; D020543:Proteome
keywords: Bioinformatics; Data processing pipeline; IPA/IP2 pipeline; MaxQuant pipeline; OpenMS pipeline; Protein identification; Protein quantification; Proteomics data processing; Scaffold pipeline; Sorcerer pipeline; The Central Proteomics Facilities Pipeline (CPFP); Trans proteomic pipeline