Bioinformatics Pipeline for Human Papillomavirus Short Read Genomic Sequences Classification Using Support Vector Machine.

Lomsadze, Alexandre; Li, Tengguo; Rajeevan, Mangalathu S; Unger, Elizabeth R; Borodovsky, Mark

Lomsadze, Alexandre; Li, Tengguo; Rajeevan, Mangalathu S; Unger, Elizabeth R; Borodovsky, Mark.

Afiliação

Lomsadze A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech, Atlanta, GA 30332, USA.
Li T; Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Rajeevan MS; Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Unger ER; Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Borodovsky M; Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech, Atlanta, GA 30332, USA.

Viruses ; 12(7)2020 06 30.

Article em En | MEDLINE | ID: mdl-32629900

Assuntos

Alphapapillomavirus/classificação; Alphapapillomavirus/genética; Biologia Computacional/métodos; Infecções por Papillomavirus/virologia; Algoritmos; Alphapapillomavirus/química; Alphapapillomavirus/metabolismo; Biologia Computacional/instrumentação; Genômica; Humanos; Máquina de Vetores de Suporte

Palavras-chave

HPV typing; HPV whole genome sequencing; bioinformatics pipeline; h classification; target enrichment

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Infecções por Papillomavirus / Alphapapillomavirus Tipo de estudo: Evaluation_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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