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HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346025/ https://www.ncbi.nlm.nih.gov/pubmed/22570520 http://dx.doi.org/10.6026/97320630008388 |
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author | Yin, Li Yao, Jiqiang Gardner, Brent P Chang, Kaifen Yu, Fahong Goodenow, Maureen M |
author_facet | Yin, Li Yao, Jiqiang Gardner, Brent P Chang, Kaifen Yu, Fahong Goodenow, Maureen M |
author_sort | Yin, Li |
collection | PubMed |
description | 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. AVAILABILITY: The database is available for free at http://www.ijbcb.org/HPV/ |
format | Online Article Text |
id | pubmed-3346025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-33460252012-05-08 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 Bioinformation Database 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. AVAILABILITY: The database is available for free at http://www.ijbcb.org/HPV/ Biomedical Informatics 2012-04-30 /pmc/articles/PMC3346025/ /pubmed/22570520 http://dx.doi.org/10.6026/97320630008388 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Database Yin, Li Yao, Jiqiang Gardner, Brent P Chang, Kaifen Yu, Fahong Goodenow, Maureen M HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title | HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title_full | HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title_fullStr | HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title_full_unstemmed | HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title_short | HPV-QUEST: A highly customized system for automated HPV sequence analysis capable of processing Next Generation sequencing data set |
title_sort | hpv-quest: a highly customized system for automated hpv sequence analysis capable of processing next generation sequencing data set |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346025/ https://www.ncbi.nlm.nih.gov/pubmed/22570520 http://dx.doi.org/10.6026/97320630008388 |
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