Visualizing Metagenomic and Metatranscriptomic Data: A Comprehensive Review

Overview

Journal Comput Struct Biotechnol J

Specialty Biotechnology

Date 2024 May 20

PMID 38765606

Authors

Eleni Aplakidou

Nikolaos Vergoulidis

Maria Chasapi

Nefeli K Venetsianou

Maria Kokoli

Eleni Panagiotopoulou

Ioannis Iliopoulos

Evangelos Karatzas

Evangelos Pafilis

Ilias Georgakopoulos-Soares

Nikos C Kyrpides

Georgios A Pavlopoulos

Fotis A Baltoumas

Affiliations

Soon will be listed here.

Abstract

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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