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The Microbial Genomes Atlas (MiGA) webserver: taxonomic and gene diversity analysis of Archaea and Bacteria at the whole genome level.
Rodriguez-R, Luis M; Gunturu, Santosh; Harvey, William T; Rosselló-Mora, Ramon; Tiedje, James M; Cole, James R; Konstantinidis, Konstantinos T.
Afiliación
  • Rodriguez-R LM; School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Dr. NW, Atlanta, GA 30332, USA.
  • Gunturu S; Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA.
  • Harvey WT; School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Dr. NW, Atlanta, GA 30332, USA.
  • Rosselló-Mora R; Grup de Microbiologia Marina, Institut Mediterrani d'Estudis Avançats (IMEDEA), Universitat de les Illes Balears (UIB) and Consejo Superior de Investigaciones Científicas (CSIC), C/Miquel Marques 21, 07190 Esporles, Illes Balears, Spain.
  • Tiedje JM; Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA.
  • Cole JR; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA.
  • Konstantinidis KT; Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824, USA.
Nucleic Acids Res ; 46(W1): W282-W288, 2018 07 02.
Article en En | MEDLINE | ID: mdl-29905870
ABSTRACT
The small subunit ribosomal RNA gene (16S rRNA) has been successfully used to catalogue and study the diversity of prokaryotic species and communities but it offers limited resolution at the species and finer levels, and cannot represent the whole-genome diversity and fluidity. To overcome these limitations, we introduced the Microbial Genomes Atlas (MiGA), a webserver that allows the classification of an unknown query genomic sequence, complete or partial, against all taxonomically classified taxa with available genome sequences, as well as comparisons to other related genomes including uncultivated ones, based on the genome-aggregate Average Nucleotide and Amino Acid Identity (ANI/AAI) concepts. MiGA integrates best practices in sequence quality trimming and assembly and allows input to be raw reads or assemblies from isolate genomes, single-cell sequences, and metagenome-assembled genomes (MAGs). Further, MiGA can take as input hundreds of closely related genomes of the same or closely related species (a so-called 'Clade Project') to assess their gene content diversity and evolutionary relationships, and calculate important clade properties such as the pangenome and core gene sets. Therefore, MiGA is expected to facilitate a range of genome-based taxonomic and diversity studies, and quality assessment across environmental and clinical settings. MiGA is available at http//microbial-genomes.org/.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Ribosómico 16S / Internet / Genómica Tipo de estudio: Guideline Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / ARN Ribosómico 16S / Internet / Genómica Tipo de estudio: Guideline Idioma: En Revista: Nucleic Acids Res Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos