-
Something wrong with this record ?
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,
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NV15-31426A
MZ0
CEP Register
Digital library NLK
Full text - Article
Source
NLK
BioMedCentral
from 2000-12-01
BioMedCentral Open Access
from 2000
Directory of Open Access Journals
from 2000
Free Medical Journals
from 2000
PubMed Central
from 2000
Europe PubMed Central
from 2000 to 2020
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2000-07-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2000-01-01
Medline Complete (EBSCOhost)
from 2000-01-01
Health & Medicine (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2000
Springer Nature OA/Free Journals
from 2000-12-01
- MeSH
- Genetic Variation MeSH
- Genomics methods MeSH
- Internet * MeSH
- Humans MeSH
- Microbiota genetics MeSH
- Software * MeSH
- Viruses genetics MeSH
- High-Throughput Nucleotide Sequencing * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't 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.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc18016604
- 003
- CZ-PrNML
- 005
- 20201104150341.0
- 007
- ta
- 008
- 180515s2017 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12864-017-3721-7 $2 doi
- 035 __
- $a (PubMed)28506246
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Lin, Jake $u BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland.
- 245 10
- $a Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples / $c J. Lin, L. Kramna, R. Autio, H. Hyöty, M. Nykter, O. Cinek,
- 520 9_
- $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.
- 650 _2
- $a genetická variace $7 D014644
- 650 _2
- $a genomika $x metody $7 D023281
- 650 12
- $a vysoce účinné nukleotidové sekvenování $7 D059014
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a internet $7 D020407
- 650 _2
- $a mikrobiota $x genetika $7 D064307
- 650 12
- $a software $7 D012984
- 650 _2
- $a viry $x genetika $7 D014780
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Kramna, Lenka $u Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06, Praha 5, Czech Republic.
- 700 1_
- $a Autio, Reija $u School of Social Sciences, University of Tampere, Kalevantie 4, 33100, Tampere, Finland.
- 700 1_
- $a Hyöty, Heikki $u BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland. heikki.hyoty@uta.fi. Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland. heikki.hyoty@uta.fi.
- 700 1_
- $a Nykter, Matti $u BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland. matti.nykter@uta.fi.
- 700 1_
- $a Cinek, Ondrej $u Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06, Praha 5, Czech Republic. ondrej.cinek@lfmotol.cuni.cz.
- 773 0_
- $w MED00008181 $t BMC genomics $x 1471-2164 $g Roč. 18, č. 1 (2017), s. 378
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/28506246 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20180515 $b ABA008
- 991 __
- $a 20201104150339 $b ABA008
- 999 __
- $a ok $b bmc $g 1300228 $s 1013444
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2017 $b 18 $c 1 $d 378 $e 20170515 $i 1471-2164 $m BMC genomics $n BMC Genomics $x MED00008181
- GRA __
- $a NV15-31426A $p MZ0
- LZP __
- $a Pubmed-20180515