Evidence map›Paper›PMID 23555882›Full record

ArticlePloS one2013

MultiPSQ: a software solution for the analysis of diagnostic n-plexed pyrosequencing reactions.

Piotr Wojtek Dabrowski, Kati Schröder, Andreas Nitsche

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Piotr Wojtek DabrowskiCentral Administration 4 (IT), Robert Koch Institute, Berlin, Germany. DabrowskiW@rki.de
Kati Schröder
Andreas Nitsche
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPyrosequencing can be applied for Single-Nucleotide-Polymorphism (SNP)-based pathogen typing or for providing sequence information of short DNA stretches. However, for some pathogens molecular typing cannot be performed relying on a single SNP or short sequence stretch, necessitating the consideration of several genomic regions. A promising rapid approach is the simultaneous application of multiple sequencing primers, called multiplex pyrosequencing. These primers generate a fingerprint-pyrogram which is constituted by the sum of all individual pyrograms originating from each primer used.

methodsTo improve pyrosequencing-based pathogen typing, we have developed the software tool MultiPSQ that expedites the analysis and evaluation of multiplex-pyrograms. As a proof of concept, a multiplex pyrosequencing assay for the typing of orthopoxviruses was developed to analyse clinical samples diagnosed in the German Consultant Laboratory for Poxviruses.

resultsThe software tool MultiPSQ enabled the analysis of multiplex-pyrograms originating from various pyrosequencing primers. Thus several target regions can be used for pathogen typing based on pyrosequencing. As shown with a proof of concept assay, SNPs present in different orthopoxvirus strains could be identified correctly with two primers by MultiPSQ.

conclusionsSoftware currently available is restricted to a fixed number of SNPs and sequencing primers, severely limiting the usefulness of this technique. In contrast, our novel software MultiPSQ allows analysis of data from multiplex pyrosequencing assays that contain any number of sequencing primers covering any number of polymorphisms.

Indexed as

SoftwarePolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID23555882
PMCPMC3608623
OpenAlexW2111356565

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.