title: Challenges and opportunities in proteomics data analysis.
abstract: Accurate, consistent, and transparent data processing and analysis are integral and critical parts of proteomics workflows in general and for biomarker discovery in particular. Definition of common standards for data representation and analysis and the creation of data repositories are essential to compare, exchange, and share data within the community. Current issues in data processing, analysis, and validation are discussed together with opportunities for improving the process in the future and for defining alternative workflows.
authors.affiliation: Institute of Molecular Systems Biology, ETH Zurich, CH-8049 Zurich, Switzerland. domon@imsb.biol.ethz.ch
authors.forename: Bruno
authors.initials: B
authors.lastname: Domon
authors.forename: Ruedi
authors.initials: R
authors.lastname: Aebersold
mesh_terms: D030562:Databases, Protein; D010455:Peptides; D011506:Proteins / Q000032:analysis; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results; D013223:Statistics as Topic
chemical_list: D010455:Peptides; D011506:Proteins