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MetaSee: an interactive and extendable visualization toolbox for metagenomic sample analysis and comparison.

Baoxing Song¹, Xiaoquan Su, Jian Xu

¹BioEnergy Genome Center, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong Province, People's Republic of China.

|November 13, 2012

Summary

MetaSee is an extendable toolbox for visualizing next-generation sequencing metagenomic data. It addresses challenges in multi-sample analysis, offering interactive tools for taxonomic and functional exploration.

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Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Next-generation sequencing (NGS) is central to metagenomic data analysis of microbial communities.
Effective visualization of large metagenomic datasets is crucial for interpretation and exploration.
Current visualization tools struggle with multi-sample data, diverse research focuses, and systematic organization.

Purpose of the Study:

To introduce MetaSee, an extendable and interactive toolbox for visualizing metagenomic samples.
To provide a systematic approach to metagenomic data visualization, addressing limitations of existing tools.
To facilitate both exploration and in-depth analysis of metagenomic data.

Main Methods:

Development of MetaSee, an integrative visualization toolbox.
Core visualization engine featuring Global, Phylogenetic, Sample, and Taxa views for multi-sample comparison.
Integration of a front-end user interface with metagenomic models.
Inclusion of an open-source portal for plug-in development.

Main Results:

MetaSee offers comprehensive visualization for metagenomic samples.
The toolbox supports interactive exploration and comparison of multiple samples.
Its modular design with an open-source portal allows for extensibility and customization.

Conclusions:

MetaSee provides an effective solution for the visualization challenges in metagenomic research.
The tool enhances researchers' ability to explore, interpret, and analyze complex metagenomic datasets.
The open-source nature of MetaSee promotes community-driven development and broader adoption.