Evidence map›Paper›PMID 42825301›Full record

ArticleBioinformatics advances2026

TAPPR PCR assay design-targeted, automated, primer and probe retrieval for scalable molecular assay design.

Phillip E Davis, Colin W Price, Taylor Otwell, Anshika Kapoor, Vita Domnenko, Joseph A Russell

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Phillip E DavisIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.
Colin W PriceIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.
Taylor OtwellIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.
Anshika KapoorIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.
Vita DomnenkoIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.
Joseph A RussellIntegrated Health Surveillance and Diagnostics of MRIGlobal, Kansas City, MO 64110, United States.ORCID https://orcid.org/0000-0002-0623-5519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The rapid and reliable detection of infectious disease agents is critical for effective biosurveillance, diagnostics, and outbreak response. However, existing molecular assay design methods face significant limitations in scalability, speed, and adaptability to rapidly evolving pathogens, often leading to outdated or suboptimal assays. Here, we present Targeted, Automated Primer and Probe Retrieval (TAPPR), a novel, automated pipeline for scalable molecular assay design. TAPPR uses alignment-free methods to identify conserved regions and marker sequences across large-scale genomic datasets, supporting customizable design parameters for inclusivity, exclusivity, and assay specificity. To evaluate TAPPR's performance, assays were designed for diverse microbial targets, including Mpox, Results: TAPPR demonstrates rapid and scalable data-driven molecular assay design through alignment-free estimations of conserved regions and marker regions. Through both Availability and implementation: TAPPR is available at https://github.com/mriglobal/tappr under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License.

Identifiers

PMID42825301
PMCPMC13630449

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.