{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["42(Web Server issue)"],"submitter":["Kuzniar A"],"pubmed_abstract":["We present the Proteomics Identifications and Quantitations Data Management and Integration Service or PIQMIe that aids in reliable and scalable data management, analysis and visualization of semi-quantitative mass spectrometry based proteomics experiments. PIQMIe readily integrates peptide and (non-redundant) protein identifications and quantitations from multiple experiments with additional biological information on the protein entries, and makes the linked data available in the form of a light-weight relational database, which enables dedicated data analyses (e.g. in R) and user-driven queries. Using the web interface, users are presented with a concise summary of their proteomics experiments in numerical and graphical forms, as well as with a searchable protein grid and interactive vis"],"journal":["Nucleic acids research"],"pagination":["W100-6"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4086067"],"repository":["biostudies-literature"],"pubmed_title":["PIQMIe: a web server for semi-quantitative proteomics data management and analysis."],"pmcid":["PMC4086067"],"pubmed_authors":["Kanaar R","Kuzniar A"],"additional_accession":[]},"is_claimable":false,"name":"PIQMIe: a web server for semi-quantitative proteomics data management and analysis.","description":"We present the Proteomics Identifications and Quantitations Data Management and Integration Service or PIQMIe that aids in reliable and scalable data management, analysis and visualization of semi-quantitative mass spectrometry based proteomics experiments. PIQMIe readily integrates peptide and (non-redundant) protein identifications and quantitations from multiple experiments with additional biological information on the protein entries, and makes the linked data available in the form of a light-weight relational database, which enables dedicated data analyses (e.g. in R) and user-driven queries. Using the web interface, users are presented with a concise summary of their proteomics experiments in numerical and graphical forms, as well as with a searchable protein grid and interactive vis","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014 Jul","modification":"2026-04-16T17:43:30.1Z","creation":"2019-03-27T01:31:37Z"},"accession":"S-EPMC4086067","cross_references":{"pubmed":["24861615"],"doi":["10.1093/nar/gku478"]}}