MS-Helios: a Circos wrapper to visualize multi-omic datasets

被引:5
|
作者
Marx, Harald [1 ,2 ]
Coon, Joshua J. [2 ,3 ,4 ,5 ]
机构
[1] Univ Vienna, Dept Microbiol & Ecosyst Sci, A-1090 Vienna, Austria
[2] Univ Wisconsin, Dept Chem, 1101 Univ Ave, Madison, WI 53706 USA
[3] Morgridge Inst Res, Madison, WI 53715 USA
[4] Genome Ctr Wisconsin, Madison, WI 53706 USA
[5] Univ Wisconsin, Dept Biomol Chem, Madison, WI 53706 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
CIRCULAR VISUALIZATION;
D O I
10.1186/s12859-018-2564-9
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
BackgroundAdvances in high-resolution mass spectrometry facilitate the identification of hundreds of metabolites, thousands of proteins and their post-translational modifications. This remarkable progress poses a challenge to data analysis and visualization, requiring methods to reduce dimensionality and represent the data in a compact way. To provide a more holistic view, we recently introduced circular proteome maps (CPMs). However, the CPM construction requires prior data transformation and extensive knowledge of the Perl-based tool, Circos.ResultsWe present MS-Helios, an easy to use command line tool with multiple built-in data processing functions, allowing non-expert users to construct CPMs or in general terms circular plots with a non-genomic basis. MS-Helios automatically generates data and configuration files to create high quality and publishable circular plots with Circos. We showcase the software on large-scale multi-omic datasets to visualize global trends and/or to contextualize specific features.ConclusionsMS-Helios provides the means to easily map and visualize multi-omic data in a comprehensive way. The software, datasets, source code, and tutorial are available at https://sourceforge.net/projects/ms-helios/.
引用
收藏
页数:4
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