Evidence map›Paper›PMID 28506246›Full record

ArticleBMC genomics2017

Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples.

Jake Lin, Lenka Kramna, Reija Autio, Heikki Hyöty, Matti Nykter, Ondrej Cinek

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Jake LinBioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland.ORCID 0000-0001-9928-1663
Lenka KramnaDepartment of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06, Praha 5, Czech Republic.
Reija AutioSchool of Social Sciences, University of Tampere, Kalevantie 4, 33100, Tampere, Finland.
Heikki HyötyBioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland. heikki.hyoty@uta.fi.
Matti NykterBioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland. matti.nykter@uta.fi.
Ondrej CinekDepartment 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.
Tampere University · FICharles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

High-Throughput Nucleotide SequencingInternetSoftwareGenetic VariationGenomicsHumansMicrobiotaVirusesAssemblyMetagenomicsNGS analysisParallel processingViral dark matterViromesVirusVisualization

Identifiers

PMID28506246
PMCPMC5430618
OpenAlexW2614532003

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.