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LINbase: a web server for genome-based identification of prokaryotes as members of crowdsourced taxa.
Tian, Long; Huang, Chengjie; Mazloom, Reza; Heath, Lenwood S; Vinatzer, Boris A.
Afiliación
  • Tian L; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
  • Huang C; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
  • Mazloom R; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
  • Heath LS; Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
  • Vinatzer BA; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Nucleic Acids Res ; 48(W1): W529-W537, 2020 07 02.
Article en En | MEDLINE | ID: mdl-32232369
High throughput DNA sequencing in combination with efficient algorithms could provide the basis for a highly resolved, genome phylogeny-based and digital prokaryotic taxonomy. However, current taxonomic practice continues to rely on cumbersome journal publications for the description of new species, which still constitute the smallest taxonomic units. In response, we introduce LINbase, a web server that allows users to genomically circumscribe any group of prokaryotes with measurable DNA similarity and that uses the individual isolate as smallest unit. Since LINbase leverages the concept of Life Identification Numbers (LINs), which are codes assigned to individual genomes based on reciprocal average nucleotide identity, we refer to groups circumscribed in LINbase as LINgroups. Users can associate with each LINgroup a name, a short description, and a URL to a peer-reviewed publication. As soon as a LINgroup is circumscribed, any user can immediately identify query genomes as members and submit comments about the LINgroup. Most genomes currently in LINbase were imported from GenBank, but users can upload their own genome sequences as well. In conclusion, LINbase combines the resolution of LINs with the power of crowdsourcing in support of a highly resolved, genome phylogeny-based digital taxonomy. LINbase is available at http://www.LINbase.org.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Programas Informáticos / Genoma Bacteriano Tipo de estudio: Diagnostic_studies / Incidence_studies Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bacterias / Programas Informáticos / Genoma Bacteriano Tipo de estudio: Diagnostic_studies / Incidence_studies Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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