Visualizing metagenomic and metatranscriptomic data: A comprehensive review.
Eleni Aplakidou1,2, Nikolaos Vergoulidis1, Maria Chasapi1,2
1Institute for Fundamental Biomedical Research, BSRC "Alexander Fleming", Vari, Greece.
Computational and Structural Biotechnology Journal
|May 20, 2024
Summary
Advanced visualization tools are crucial for exploring complex metagenomics and metatranscriptomics data. These tools help researchers, including bioinformaticians and non-bioinformaticians, interpret large datasets effectively.
Area of Science:
- Bioinformatics
- Genomics
- Systems Biology
Background:
- Metagenomics and metatranscriptomics analyze genetic material from environmental samples.
- Large datasets in these fields pose challenges for processing, analysis, and visualization.
Purpose of the Study:
- To highlight the importance of advanced visualization tools in meta-omics data analysis.
- To categorize visualization tools by application and assess their accessibility.
Main Methods:
- Review and categorization of existing visualization tools for meta-omics data.
- Emphasis on the utility of these tools for diverse user groups.
Main Results:
- Visualization tools are critical for effective exploration and querying of complex meta-omics datasets.
- Categorized tools enhance accessibility for both bioinformaticians and non-bioinformaticians.
Conclusions:
- Advanced visualization is essential for unlocking discoveries in metagenomics and metatranscriptomics.
- Accessible tools empower broader interpretation of complex biological data.
