Available online 3 May 2024

The fields of Metagenomics and Metatranscriptomics involve the examination of complete nucleotide sequences, gene identification, and analysis of potential biological functions within diverse organisms or environmental samples. Despite the vast opportunities for discovery in metagenomics, the sheer volume and complexity of sequence data often present challenges in processing analysis and visualization. This article highlights the critical role of advanced visualization tools in enabling effective exploration, querying, and analysis of these complex datasets. Emphasizing the importance of accessibility, the article categorizes various visualizers based on their intended applications and highlights their utility in empowering bioinformaticians and non-bioinformaticians to interpret and derive insights from meta-omics data effectively.

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A. Minimum-Evolution tree - Adh sequence data from eleven fruit fly species B. iTol circular tree - Alignment of temporally sampled data for using RelTime with Dated Tips (RTDT) to estimate times of divergence C. iTOL unrooted tree - Alignment of temporally sampled data for using RelTime with Dated Tips (RTDT) to estimate times of divergence. D. Pavian E. Krona sunburst chart - Taxonomic abundance of skin microbiome samples for 4 consecutive days F. iTOL rectangular tree - Adh sequence data from eleven fruit fly species

metagenomics

biodiversity

ecosystems

phylogeny

databases

visualization tools

© 2024 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.