Genome Biology (Jan 2022)

AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite

  • Giorgos Skoufos,
  • Fatemeh Almodaresi,
  • Mohsen Zakeri,
  • Joseph N. Paulson,
  • Rob Patro,
  • Artemis G. Hatzigeorgiou,
  • Ioannis S. Vlachos

DOI
https://doi.org/10.1186/s13059-022-02610-4
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 27

Abstract

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Abstract We introduce AGAMEMNON ( https://github.com/ivlachos/agamemnon ) for the acquisition of microbial abundances from shotgun metagenomics and metatranscriptomic samples, single-microbe sequencing experiments, or sequenced host samples. AGAMEMNON delivers accurate abundances at genus, species, and strain resolution. It incorporates a time and space-efficient indexing scheme for fast pattern matching, enabling indexing and analysis of vast datasets with widely available computational resources. Host-specific modules provide exceptional accuracy for microbial abundance quantification from tissue RNA/DNA sequencing, enabling the expansion of experiments lacking metagenomic/metatranscriptomic analyses. AGAMEMNON provides an R-Shiny application, permitting performance of investigations and visualizations from a graphics interface.

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