ArticleScientific reports2019
PRIMEval: Optimization and screening of multiplex oligonucleotide assays.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Establishment of a Quadruplex RT-qPCR Method for the Detection of All Lineages of PPRV.Animals : an open access journal from MDPI · 2026Article
- Development of SNP panel for genetic diversity assessment, fingerprinting identification and backcross breeding inMolecular breeding : new strategies in plant improvement · 2025Article
- Padlock Probe-Based Generation of DNAzymes for the Colorimetric Detection of Antibiotic Resistance Genes.International journal of molecular sciences · 2021Article
- Full pathogen characterisation: species identification including the detection of virulence factors and antibiotic resistance genes via multiplex DNA-assays.Scientific reports · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
The development of multiplex polymerase chain reaction and microarray assays is challenging due to primer dimer formation, unspecific hybridization events, the generation of unspecific by-products, primer depletion, and thus lower amplification efficiencies. We have developed a software workflow with three underlying algorithms that differ in their use case and specificity, allowing the complete in silico evaluation of such assays on user-derived data sets. We experimentally evaluated the method for the prediction of oligonucleotide hybridization events including resulting products and probes, self-dimers, cross-dimers and hairpins at different experimental conditions. The developed method allows explaining the observed artefacts through in silico WGS data and thermodynamic predictions. PRIMEval is available publicly at https://primeval.ait.ac.at.
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