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AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite

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...

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Autores principales: Skoufos, Giorgos, Almodaresi, Fatemeh, Zakeri, Mohsen, Paulson, Joseph N., Patro, Rob, Hatzigeorgiou, Artemis G., Vlachos, Ioannis S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802518/
https://www.ncbi.nlm.nih.gov/pubmed/35101114
http://dx.doi.org/10.1186/s13059-022-02610-4
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author Skoufos, Giorgos
Almodaresi, Fatemeh
Zakeri, Mohsen
Paulson, Joseph N.
Patro, Rob
Hatzigeorgiou, Artemis G.
Vlachos, Ioannis S.
author_facet Skoufos, Giorgos
Almodaresi, Fatemeh
Zakeri, Mohsen
Paulson, Joseph N.
Patro, Rob
Hatzigeorgiou, Artemis G.
Vlachos, Ioannis S.
author_sort Skoufos, Giorgos
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02610-4.
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spelling pubmed-88025182022-02-02 AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite Skoufos, Giorgos Almodaresi, Fatemeh Zakeri, Mohsen Paulson, Joseph N. Patro, Rob Hatzigeorgiou, Artemis G. Vlachos, Ioannis S. Genome Biol Method 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02610-4. BioMed Central 2022-01-31 /pmc/articles/PMC8802518/ /pubmed/35101114 http://dx.doi.org/10.1186/s13059-022-02610-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Method
Skoufos, Giorgos
Almodaresi, Fatemeh
Zakeri, Mohsen
Paulson, Joseph N.
Patro, Rob
Hatzigeorgiou, Artemis G.
Vlachos, Ioannis S.
AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title_full AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title_fullStr AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title_full_unstemmed AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title_short AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
title_sort agamemnon: an accurate metagenomics and metatranscriptomics quantification analysis suite
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802518/
https://www.ncbi.nlm.nih.gov/pubmed/35101114
http://dx.doi.org/10.1186/s13059-022-02610-4
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