Evidence map›Paper›PMID 25701575›Full record

ArticleBioinformatics (Oxford, England)2015

Deep sequencing analysis of viral infection and evolution allows rapid and detailed characterization of viral mutant spectrum.

Ofer Isakov, Antonio V Bordería, David Golan, Amir Hamenahem, Gershon Celniker, Liron Yoffe, Hervé Blanc, Marco Vignuzzi, Noam Shomron

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

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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

9 authors.

Ofer IsakovSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Antonio V BorderíaSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
David GolanSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Amir HamenahemSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Gershon CelnikerSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Liron YoffeSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Hervé BlancSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Marco VignuzziSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.
Noam ShomronSackler Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel, Institut Pasteur, Viral Populations and Pathogenesis, CNRS URA 3015, Paris, France and Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 69978, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe study of RNA virus populations is a challenging task. Each population of RNA virus is composed of a collection of different, yet related genomes often referred to as mutant spectra or quasispecies. Virologists using deep sequencing technologies face major obstacles when studying virus population dynamics, both experimentally and in natural settings due to the relatively high error rates of these technologies and the lack of high performance pipelines. In order to overcome these hurdles we developed a computational pipeline, termed ViVan (Viral Variance Analysis). ViVan is a complete pipeline facilitating the identification, characterization and comparison of sequence variance in deep sequenced virus populations.

resultsApplying ViVan on deep sequenced data obtained from samples that were previously characterized by more classical approaches, we uncovered novel and potentially crucial aspects of virus populations. With our experimental work, we illustrate how ViVan can be used for studies ranging from the more practical, detection of resistant mutations and effects of antiviral treatments, to the more theoretical temporal characterization of the population in evolutionary studies. AVAILABILITY AND IMPLEMENTATION: Freely available on the web at http://www.vivanbioinfo.org CONTACT: : nshomron@post.tau.ac.il SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Biological EvolutionAntiviral AgentsGenetic VariationGenome, ViralHigh-Throughput Nucleotide SequencingHumansMutationPopulation DynamicsRNA VirusesVirus DiseasesVirusesAntiviral Agents

Identifiers

PMID25701575
PMCPMC4481840

What OpenQuestion holds

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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.