Visualizing metagenomic and metatranscriptomic data: A comprehensive review

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

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)2011-2033
Number of pages23
JournalComputational and Structural Biotechnology Journal
Volume23
DOIs
StatePublished - Dec 2024

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Structural Biology
  • Biochemistry
  • Genetics
  • Computer Science Applications

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