Evidence map›Paper›PMID 36112576›Full record

ArticlePloS one2022

Rapid genotyping of targeted viral samples using Illumina short-read sequencing data.

Alex Váradi, Eszter Kaszab, Gábor Kardos, Eszter Prépost, Krisztina Szarka, Levente Laczkó

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Alex VáradiDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.ORCID 0000-0001-8229-6340
Eszter KaszabDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.
Gábor KardosDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.
Eszter PrépostDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.
Krisztina SzarkaDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.
Levente LaczkóDepartment of Metagenomics, University of Debrecen, Debrecen, Hungary.ORCID 0000-0002-9379-7527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most important information about microorganisms might be their accurate genome sequence. Using current Next Generation Sequencing methods, sequencing data can be generated at an unprecedented pace. However, we still lack tools for the automated and accurate reference-based genotyping of viral sequencing reads. This paper presents our pipeline designed to reconstruct the dominant consensus genome of viral samples and analyze their within-host variability. We benchmarked our approach on numerous datasets and showed that the consensus genome of samples could be obtained reliably without further manual data curation. Our pipeline can be a valuable tool for fast identifying viral samples. The pipeline is publicly available on the project's GitHub page (https://github.com/laczkol/QVG).

Indexed as

High-Throughput Nucleotide SequencingSoftwareGenomeGenotype

Identifiers

PMID36112576
PMCPMC9481040

What OpenQuestion holds

Textmetadata
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.