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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.
Afiliação
  • Skoufos G; Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece. gskoufos@uth.gr.
  • Almodaresi F; Hellenic Pasteur Institute, 11521, Athens, Greece. gskoufos@uth.gr.
  • Zakeri M; DIANA-Lab, Department of Computer Science and Biomedical Informatics, Univ. of Thessaly, 351 31, Lamia, Greece. gskoufos@uth.gr.
  • Paulson JN; Department of Computer Science, University of Maryland, College Park, MD, USA.
  • Patro R; Department of Computer Science, University of Maryland, College Park, MD, USA.
  • Hatzigeorgiou AG; Department of Data Sciences, Genentech Inc., South San Francisco, CA, USA.
  • Vlachos IS; Department of Computer Science, University of Maryland, College Park, MD, USA.
Genome Biol ; 23(1): 39, 2022 01 31.
Article em En | MEDLINE | ID: mdl-35101114
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Metagenômica Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metagenoma / Metagenômica Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Grécia