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HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set.
Yin, Li; Yao, Jiqiang; Gardner, Brent P; Chang, Kaifen; Yu, Fahong; Goodenow, Maureen M.
Affiliation
  • Yin L; Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA. yin@pathology.ufl.edu
Bioinformation ; 8(8): 388-90, 2012.
Article in En | MEDLINE | ID: mdl-22570520
ABSTRACT
Next Generation sequencing (NGS) applied to human papilloma viruses (HPV) can provide sensitive methods to investigate the molecular epidemiology of multiple type HPV infection. Currently a genotyping system with a comprehensive collection of updated HPV reference sequences and a capacity to handle NGS data sets is lacking. HPV-QUEST was developed as an automated and rapid HPV genotyping system. The web-based HPV-QUEST subtyping algorithm was developed using HTML, PHP, Perl scripting language, and MYSQL as the database backend. HPV-QUEST includes a database of annotated HPV reference sequences with updated nomenclature covering 5 genuses, 14 species and 150 mucosal and cutaneous types to genotype blasted query sequences. HPV-QUEST processes up to 10 megabases of sequences within 1 to 2 minutes. Results are reported in html, text and excel formats and display e-value, blast score, and local and coverage identities; provide genus, species, type, infection site and risk for the best matched reference HPV sequence; and produce results ready for additional analyses.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bioinformation Year: 2012 Document type: Article Affiliation country: Estados Unidos Publication country: SG / SINGAPORE / SINGAPUR / SINGAPURA

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bioinformation Year: 2012 Document type: Article Affiliation country: Estados Unidos Publication country: SG / SINGAPORE / SINGAPUR / SINGAPURA