Evidence map›Paper›PMID 23965160›Full record

ArticleBMC bioinformatics2013

A multiple-alignment based primer design algorithm for genetically highly variable DNA targets.

Johanna Brodin, Mohan Krishnamoorthy, Gayathri Athreya, Will Fischer, Peter Hraber, Cheryl Gleasner, Lance Green, Bette Korber, Thomas Leitner

Abstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 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.

Johanna BrodinTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. tkl@lanl.gov.
Mohan Krishnamoorthy
Gayathri Athreya
Will Fischer
Peter Hraber
Cheryl Gleasner
Lance Green
Bette Korber
Thomas Leitner

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
NIAID NIH HHS AI087520NIAID NIH HHS R01 AI087520
6 · The paper itself

Abstract

backgroundPrimer design for highly variable DNA sequences is difficult, and experimental success requires attention to many interacting constraints. The advent of next-generation sequencing methods allows the investigation of rare variants otherwise hidden deep in large populations, but requires attention to population diversity and primer localization in relatively conserved regions, in addition to recognized constraints typically considered in primer design.

resultsDesign constraints include degenerate sites to maximize population coverage, matching of melting temperatures, optimizing de novo sequence length, finding optimal bio-barcodes to allow efficient downstream analyses, and minimizing risk of dimerization. To facilitate primer design addressing these and other constraints, we created a novel computer program (PrimerDesign) that automates this complex procedure. We show its powers and limitations and give examples of successful designs for the analysis of HIV-1 populations.

conclusionsPrimerDesign is useful for researchers who want to design DNA primers and probes for analyzing highly variable DNA populations. It can be used to design primers for PCR, RT-PCR, Sanger sequencing, next-generation sequencing, and other experimental protocols targeting highly variable DNA samples.

Indexed as

AlgorithmsSoftwareDNA PrimersHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansModels, GeneticPolymerase Chain ReactionSequence Analysis, DNADNA Primers

Identifiers

PMID23965160
PMCPMC3765731

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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.