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Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples
J. Lin, L. Kramna, R. Autio, H. Hyöty, M. Nykter, O. Cinek,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
NV15-31426A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
Zdroj
NLK
BioMedCentral
od 2000-12-01
BioMedCentral Open Access
od 2000
Directory of Open Access Journals
od 2000
Free Medical Journals
od 2000
PubMed Central
od 2000
Europe PubMed Central
od 2000 do 2020
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2000-07-01
Open Access Digital Library
od 2000-01-01
Open Access Digital Library
od 2000-01-01
Medline Complete (EBSCOhost)
od 2000-01-01
Health & Medicine (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2000
Springer Nature OA/Free Journals
od 2000-12-01
- MeSH
- genetická variace MeSH
- genomika metody MeSH
- internet * MeSH
- lidé MeSH
- mikrobiota genetika MeSH
- software * MeSH
- viry genetika MeSH
- vysoce účinné nukleotidové sekvenování * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Next generation sequencing (NGS) technology allows laboratories to investigate virome composition in clinical and environmental samples in a culture-independent way. There is a need for bioinformatic tools capable of parallel processing of virome sequencing data by exactly identical methods: this is especially important in studies of multifactorial diseases, or in parallel comparison of laboratory protocols. RESULTS: We have developed a web-based application allowing direct upload of sequences from multiple virome samples using custom parameters. The samples are then processed in parallel using an identical protocol, and can be easily reanalyzed. The pipeline performs de-novo assembly, taxonomic classification of viruses as well as sample analyses based on user-defined grouping categories. Tables of virus abundance are produced from cross-validation by remapping the sequencing reads to a union of all observed reference viruses. In addition, read sets and reports are created after processing unmapped reads against known human and bacterial ribosome references. Secured interactive results are dynamically plotted with population and diversity charts, clustered heatmaps and a sortable and searchable abundance table. CONCLUSIONS: The Vipie web application is a unique tool for multi-sample metagenomic analysis of viral data, producing searchable hits tables, interactive population maps, alpha diversity measures and clustered heatmaps that are grouped in applicable custom sample categories. Known references such as human genome and bacterial ribosomal genes are optionally removed from unmapped ('dark matter') reads. Secured results are accessible and shareable on modern browsers. Vipie is a freely available web-based tool whose code is open source.
Citace poskytuje Crossref.org
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- $a BACKGROUND: Next generation sequencing (NGS) technology allows laboratories to investigate virome composition in clinical and environmental samples in a culture-independent way. There is a need for bioinformatic tools capable of parallel processing of virome sequencing data by exactly identical methods: this is especially important in studies of multifactorial diseases, or in parallel comparison of laboratory protocols. RESULTS: We have developed a web-based application allowing direct upload of sequences from multiple virome samples using custom parameters. The samples are then processed in parallel using an identical protocol, and can be easily reanalyzed. The pipeline performs de-novo assembly, taxonomic classification of viruses as well as sample analyses based on user-defined grouping categories. Tables of virus abundance are produced from cross-validation by remapping the sequencing reads to a union of all observed reference viruses. In addition, read sets and reports are created after processing unmapped reads against known human and bacterial ribosome references. Secured interactive results are dynamically plotted with population and diversity charts, clustered heatmaps and a sortable and searchable abundance table. CONCLUSIONS: The Vipie web application is a unique tool for multi-sample metagenomic analysis of viral data, producing searchable hits tables, interactive population maps, alpha diversity measures and clustered heatmaps that are grouped in applicable custom sample categories. Known references such as human genome and bacterial ribosomal genes are optionally removed from unmapped ('dark matter') reads. Secured results are accessible and shareable on modern browsers. Vipie is a freely available web-based tool whose code is open source.
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