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Repetitive element signature-based visualization, distance computation, and classification of 1766 microbial genomes.
Lee, Kang-Hoon; Shin, Kyung-Seop; Lim, Debora; Kim, Woo-Chan; Chung, Byung Chang; Han, Gyu-Bum; Roh, Jeongkyu; Cho, Dong-Ho; Cho, Kiho.
Afiliação
  • Lee KH; Department of Surgery, University of California, Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States.
  • Shin KS; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Lim D; Department of Surgery, University of California, Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States.
  • Kim WC; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Chung BC; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Han GB; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Roh J; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Cho DH; Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
  • Cho K; Department of Surgery, University of California, Davis, Sacramento, CA, United States; Shriners Hospitals for Children Northern California, Sacramento, CA, United States. Electronic address: kcho@ucdavis.edu.
Genomics ; 106(1): 30-42, 2015 Jul.
Article em En | MEDLINE | ID: mdl-25918033
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genoma Arqueal / Genômica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genoma Arqueal / Genômica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article