Evidence map›Paper›PMID 41902738›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology

Assessment of PHRED Score Characteristics in Illumina MiSeq Amplicon Sequencing.

Seth Sims, Yury Khudyakov, Alexander Zelikovsky

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology. 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

3 authors.

Seth SimsMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-2126-0197
Yury KhudyakovMolecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Alexander ZelikovskyDepartment of Computer Science, College of Arts and Sciences, Georgia State University, Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

PHRED scores are confidence values associated with each basecall generated by sequencers. The score is defined as a monotonic function of the probability that the basecall is incorrect. The calibration of PHRED scores has previously been examined by evaluating errors made in reading known sequences. We investigated the calibration of the Illumina MiSeq instrument PHRED model using data from a large dataset. We also derive calibration methods for the PHRED scores in datasets similar to those produced by the Global Hepatitis Outbreak and Surveillance Technology (GHOST). The GHOST protocol uses a short amplicon, resulting in many positions having two base calls, one coming from each of the paired reads. A maximum likelihood model of redundant base calls that match each other was used to estimate corrected probabilities of the PHRED scores. The PHRED scores showed only small absolute deviations from their target values. These differences are statistically significant deviations (

Indexed as

Computational BiologyHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAlgorithmsCalibrationHumansLikelihood Functionsamplicon sequencingIllumina MiSeqpaired-end sequencingPHRED score

Identifiers

PMID41902738
PMCPMC13051658

What OpenQuestion holds

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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.