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Analysis of DNA Barcodes Using DNA Subway.
Williams, Jason; Nash, Bruce; Ghiban, Cornel; Khalfan, Mohammed; Hilgert, Uwe; Lauter, Susan; Yang, Chun-Hua; Micklos, David Andrew.
Afiliación
  • Williams J; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA. williams@cshl.edu.
  • Nash B; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Ghiban C; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Khalfan M; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Hilgert U; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Lauter S; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Yang CH; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
  • Micklos DA; Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA.
Methods Mol Biol ; 2744: 551-560, 2024.
Article en En | MEDLINE | ID: mdl-38683342
ABSTRACT
DNA Subway makes bioinformatic analysis of DNA barcodes classroom friendly, eliminating the need for software installations or command line tools. Subway bundles research-grade bioinformatics software into workflows with an easy-to-use interface. This chapter covers DNA Subway's DNA barcoding analysis workflow (Blue Line) starting with one or more Sanger sequence reads. During analysis, users can view trace files and sequence quality, pair and align forward and reverse reads, create and trim consensus sequences, perform BLAST searches, select reference data, align multiple sequences, and compute phylogenetic trees. High-quality sequences with the required metadata can also be submitted as barcode sequences to NCBI GenBank.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Código de Barras del ADN Taxonómico Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Código de Barras del ADN Taxonómico Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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