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MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data.
Fosso, B; Santamaria, M; D'Antonio, M; Lovero, D; Corrado, G; Vizza, E; Passaro, N; Garbuglia, A R; Capobianchi, M R; Crescenzi, M; Valiente, G; Pesole, G.
Afiliación
  • Fosso B; Institute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
  • Santamaria M; Institute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
  • D'Antonio M; CINECA, Rome, Italy.
  • Lovero D; Institute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
  • Corrado G; Department of Oncological Surgery, Gynecologic Oncology Unit, "Regina Elena" National Cancer Institute, Rome, Italy.
  • Vizza E; Department of Oncological Surgery, Gynecologic Oncology Unit, "Regina Elena" National Cancer Institute, Rome, Italy.
  • Passaro N; Department of Cell Biology and Neurosciences, Italian National Institute of Health, Rome, Italy.
  • Garbuglia AR; Lazzaro Spallanzani National Institute for Infectious Diseases, Rome, Italy.
  • Capobianchi MR; Lazzaro Spallanzani National Institute for Infectious Diseases, Rome, Italy.
  • Crescenzi M; Department of Cell Biology and Neurosciences, Italian National Institute of Health, Rome, Italy.
  • Valiente G; Algorithms, Bioinformatics, Complexity and Formal Methods Research Group, Technical University of Catalonia, Barcelona, Spain.
  • Pesole G; Institute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
Bioinformatics ; 33(11): 1730-1732, 2017 Jun 01.
Article en En | MEDLINE | ID: mdl-28130230
ABSTRACT

SUMMARY:

Shotgun metagenomics by high-throughput sequencing may allow deep and accurate characterization of host-associated total microbiomes, including bacteria, viruses, protists and fungi. However, the analysis of such sequencing data is still extremely challenging in terms of both overall accuracy and computational efficiency, and current methodologies show substantial variability in misclassification rate and resolution at lower taxonomic ranks or are limited to specific life domains (e.g. only bacteria). We present here MetaShot, a workflow for assessing the total microbiome composition from host-associated shotgun sequence data, and show its overall optimal accuracy performance by analyzing both simulated and real datasets. AVAILABILITY AND IMPLEMENTATION https//github.com/bfosso/MetaShot. CONTACT graziano.pesole@uniba.it. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Metagenómica / Secuenciación de Nucleótidos de Alto Rendimiento / Microbiota Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Metagenómica / Secuenciación de Nucleótidos de Alto Rendimiento / Microbiota Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Italia