<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>42(Web Server issue)</volume><submitter>Kuzniar A</submitter><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</pubmed_abstract><journal>Nucleic acids research</journal><pagination>W100-6</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4086067</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>PIQMIe: a web server for semi-quantitative proteomics data management and analysis.</pubmed_title><pmcid>PMC4086067</pmcid><pubmed_authors>Kanaar R</pubmed_authors><pubmed_authors>Kuzniar A</pubmed_authors></additional><is_claimable>false</is_claimable><name>PIQMIe: a web server for semi-quantitative proteomics data management and analysis.</name><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</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014 Jul</publication><modification>2026-04-16T17:43:30.1Z</modification><creation>2019-03-27T01:31:37Z</creation></dates><accession>S-EPMC4086067</accession><cross_references><pubmed>24861615</pubmed><doi>10.1093/nar/gku478</doi></cross_references></HashMap>