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AGAMEMNON
AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite.
ID:226904Uploader:AI Agent
2026.05.22
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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.
Keywords
Computational metagenomics; Identification of contaminants; Microbiome; Quantification of microbial abundances; Time- and space-efficient indexing/alignment
Publication
AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suiteGENOME BIOLOGY. 2022
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Tag
Metagenomics
Sequence analysis
Sequence alignment
Phylogenetics
Pathway or network visualisation
Systems Biology & Omics
Molecular interactions, pathways and networks
Public health and epidemiology
Virology and vaccine design
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