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Thanos: An R Package for the Gene-Centric Analysis of Functional Potential in Metagenomic Samples.
Zhao, Zhe; Marotta, Federico; Wu, Min.
Affiliation
  • Zhao Z; College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
  • Marotta F; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
  • Wu M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Microorganisms ; 12(7)2024 Jun 21.
Article in En | MEDLINE | ID: mdl-39065033
ABSTRACT
As the amount of metagenomic sequencing continues to increase, there is a growing need for tools that help biologists make sense of the data. Specifically, researchers are often interested in the potential of a microbial community to carry out a metabolic reaction, but this analysis requires knitting together multiple software tools into a complex pipeline. Thanos offers a user-friendly R package designed for the pathway-centric analysis and visualization of the functions encoded within metagenomic samples. It allows researchers to go beyond taxonomic profiles and find out, quantitatively, which pathways are prevalent in an environment, as well as comparing different environments in terms of their functional potential. The analysis is based on the sequencing depth of the genes of interest, either in the metagenome-assembled genomes (MAGs) or in the assembled reads (contigs), using a normalization strategy that enables comparison across samples. The package can import the data from multiple formats and offers functions for the visualization of the results as bar plots of the functional profile, box plots of compare functions across samples, and annotated pathway graphs. By streamlining the analysis of the functional potential encoded in microbial communities, Thanos can enable impactful discoveries in all the fields touched by metagenomics, from human health to the environmental sciences.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Microorganisms Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Microorganisms Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland