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MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data.

Authors :
Wang S
Zheng W
Hu L
Gong M
Yang H
Source :
Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2018 Oct; Vol. 25 (10), pp. 1123-1127. Date of Electronic Publication: 2018 Jul 11.
Publication Year :
2018

Abstract

Deciphering and visualizing proteomics data are a big challenge for high-throughput proteomics research. In this work, we develop a free interactive web software platform, MixProTool, for processing multigroup proteomics data sets. This tool provides integrated data analysis workflow, including quality control assessment, normalization, soft independent modeling of class analogy, statistics, gene ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. This software is also highly compatible with the identification and quantification results of various frequently used search engines, such as MaxQuant, Proteome Discoverer, or Mascot. Moreover, all analyzed results can be visualized as vector graphs and tables for further analysis. MixProTool can be conveniently operated by users, even those without bioinformatics training, and it is extremely useful for mining the most relevant features among different samples. MixProTool is deployed at the public shinyapps io server.

Details

Language :
English
ISSN :
1557-8666
Volume :
25
Issue :
10
Database :
MEDLINE
Journal :
Journal of computational biology : a journal of computational molecular cell biology
Publication Type :
Academic Journal
Accession number :
29993281
Full Text :
https://doi.org/10.1089/cmb.2018.0050