| Literature DB >> 31260318 |
Salvador Martínez-Bartolomé1, Tom Casimir Bamberger1, Mathieu Lavallée-Adam2, Daniel B McClatchy1, John R Yates1.
Abstract
The characterization of complex biological systems based on high-throughput protein quantification through mass spectrometry commonly involves differential expression analysis between replicate samples originating from different experimental conditions. Here we present Proteomics INTegrator (PINT), a new user-friendly Web-based platform-independent system to store, visualize, and query proteomics experiment results. PINT provides an extremely flexible query interface that allows advanced Boolean algebra-based data filtering of many different proteomics features such as confidence values, abundance levels or ratios, data set overlaps, sample characteristics, as well as UniProtKB annotations, which are transparently incorporated into the system. In addition, PINT allows developers to incorporate data visualization and analysis tools, such as PSEA-Quant and Reactome pathway analysis, for data set enrichment analysis. PINT serves as a centralized hub for large-scale proteomics data and as a platform for data analysis, facilitating the interpretation of proteomics results and expediting biologically relevant conclusions.Keywords: Java GWT; data filtering; data query; data visualization; enrichment analysis; mass spectrometry; proteomics
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Year: 2019 PMID： 31260318 PMCID： PMC8278777 DOI： 10.1021/acs.jproteome.8b00711
Source DB: PubMed Journal: J Proteome Res ISSN： 1535-3893 Impact factor: 4.466