Journal
JOURNAL OF CELLULAR BIOCHEMISTRY
Volume 122, Issue 10, Pages 1428-1434Publisher
WILEY
DOI: 10.1002/jcb.30019
Keywords
bioinformatics; functional analysis; interactive visualization; metagenomics; meta-transcriptomics
Categories
Funding
- National Basic Research Program of China [2013CB956103]
- Cross-Institute Research Fund of Shanghai Jiao Tong University [YG2017ZD01]
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ivTerm is an R-shiny package that allows users to visualize functional analysis results, compare results across multiple experiments, create customized charts, and download these charts. It provides users with various basic and innovative chart types to display functional terms and involved genes.
Interpreting functional analysis results derived from environmental samples using direct sequencing meta-omics data, including metagenomics and meta-transcriptomics data, is challenging due to their complexity. Visualization of functional analysis results can help researchers discover relevant biological insights. Despite the availability of many R packages, there lacks interactive and comprehensive graphic systems for displaying functional terms and corresponding genes in meta-omics analysis results. Here, we present ivTerm, an R-shiny package with a user-friendly graphical interface that enables users to inspect functional annotations, compare results across multiple experiments, create customized charts, and download these charts. It provides various basic and innovative chart types to visualize functional terms and involved genes. Users can also browse the description of terms obtained from the database web servers automatically. Two examples, including a metagenome analysis data for human gut and a meta-transcriptome data for coral symbiomes, are given to show the usage of ivTerm. In the end, we compared ivTerm with existing tools with similar functions, such as GOplot, ViSEAGO, and Chordomics. The tool ivTerm is convenient and efficient for biologists to gain an integrated view and develop deep insights by interactive analysis of meta-omics data. It can accelerate the procedure to develop insights from complex meta-omics data. The code for ivTerm is freely available at .
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