Litcius/Paper detail

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

2022Genome biology21 citationsDOIOpen Access PDF

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.

Topics & Concepts

MetagenomicsComputer scienceHost (biology)Search engine indexingShotgun sequencingSuiteComputational biologyShotgunBiologyDNA sequencingData miningArtificial intelligenceDNAGeneticsGeneHistoryArchaeologyGenomics and Phylogenetic StudiesGut microbiota and healthMetabolomics and Mass Spectrometry Studies