Graphical Interpretation and Analysis of Proteins and their Ontologies (GiaPronto): A One-Click Graph Visualization Software for Proteomics Data Sets

Mol Cell Proteomics. 2018 Jul;17(7):1426-1431. doi: 10.1074/mcp.TIR117.000438. Epub 2017 Nov 8.

Abstract

Here we present a free interactive web tool to process and visualize proteomics data sets with a single click. GiaPronto can process all proteomics quantification methods, i.e. label-free, SILAC and isobaric labeling, and analyze post-translational modifications (PTMs). The software performs normalization and statistics, assists determination of regulated proteins, biomarkers and Gene Ontology (GO) enrichment, and provides high resolution images and tables for further data analysis. We foresee that GiaPronto will become the most rapid and simple tool for assessing data quality and determining most relevant features of proteomic data sets. GiaPronto is available at giapronto.diskinlab.org.

Keywords: Algorithms; Bioinformatics software; Data Analysis; Data Visualization; Data standards; Label-free quantification; SILAC.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Biomarkers / metabolism
  • Databases, Protein*
  • Gene Ontology*
  • Humans
  • Proteomics / methods*
  • Quality Control
  • Software*
  • Statistics as Topic
  • User-Computer Interface

Substances

  • Biomarkers