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MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies.
Zachariasen, Trine; Russel, Jakob; Petersen, Charisse; Vestergaard, Gisle A; Shah, Shiraz; Atienza Lopez, Pablo; Passali, Moschoula; Turvey, Stuart E; Sørensen, Søren J; Lund, Ole; Stokholm, Jakob; Brejnrod, Asker; Thorsen, Jonathan.
Afiliação
  • Zachariasen T; Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark. trine_zachariasen@hotmail.com.
  • Russel J; Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark.
  • Petersen C; Department of Pediatrics, BC Children's Hospital, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, Canada.
  • Vestergaard GA; Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark.
  • Shah S; COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
  • Atienza Lopez P; Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet-Glostrup, Glostrup, Denmark.
  • Passali M; Department of Food Science, University of Copenhagen, Copenhagen, Denmark.
  • Turvey SE; Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet-Glostrup, Glostrup, Denmark.
  • Sørensen SJ; Department of Pediatrics, BC Children's Hospital, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, Canada.
  • Lund O; Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark.
  • Stokholm J; Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark.
  • Brejnrod A; Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark.
  • Thorsen J; COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Nat Commun ; 15(1): 5734, 2024 Jul 09.
Article em En | MEDLINE | ID: mdl-38977664
ABSTRACT
Metagenomic sequencing has provided great advantages in the characterisation of microbiomes, but currently available analysis tools lack the ability to combine subspecies-level taxonomic resolution and accurate abundance estimation with functional profiling of assembled genomes. To define the microbiome and its associations with human health, improved tools are needed to enable comprehensive understanding of the microbial composition and elucidation of the phylogenetic and functional relationships between the microbes. Here, we present MAGinator, a freely available tool, tailored for profiling of shotgun metagenomics datasets. MAGinator provides de novo identification of subspecies-level microbes and accurate abundance estimates of metagenome-assembled genomes (MAGs). MAGinator utilises the information from both gene- and contig-based methods yielding insight into both taxonomic profiles and the origin of genes and genetic content, used for inference of functional content of each sample by host organism. Additionally, MAGinator facilitates the reconstruction of phylogenetic relationships between the MAGs, providing a framework to identify clade-level differences.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Metagenoma / Metagenômica / Microbiota Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Metagenoma / Metagenômica / Microbiota Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article