title: Proteomics data validation: why all must provide data.
abstract: The field of proteomics has gained considerable momentum over the last years as new technologies and better instrumentation allowed the field to mature from what resembled a cottage industry into a high-throughput means to identify, characterize and quantify hundreds of proteins. The identifications and (relative) quantitation values obtained are often controversial however, as various techniques and different software platforms are used in the many laboratories worldwide. This Opinion attempts to shed some light on some of the underlying issues, and proposes certain guidelines authors can adhere to in order to allow others to validate their findings.
authors.affiliation: EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. lennart.martens@ebi.ac.uk
authors.forename: Lennart
authors.initials: L
authors.lastname: Martens
authors.forename: Henning
authors.initials: H
authors.lastname: Hermjakob
mesh_terms: D001709:Biotechnology / Q000639:trends; D013058:Mass Spectrometry; D040901:Proteomics / Q000379:methods / Q000592:standards*; D015203:Reproducibility of Results