Evidence map›Paper›PMID 36319642›Full record

ArticleScientific reports2022

DNA read count calibration for single-molecule, long-read sequencing.

Luis M M Soares, Terrence Hanscom, Donald E Selby, Samuel Adjei, Wei Wang, Dariusz Przybylski, John F Thompson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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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

7 authors at 1 institution in 1 country.

Luis M M SoaresGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
Terrence HanscomGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
Donald E SelbyGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
Samuel AdjeiGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
Wei WangGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
Dariusz PrzybylskiGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA.
John F ThompsonGenomics and Computational Biology, Homology Medicines Inc, Bedford, MA, USA. Thompson.john.f@gmail.com.
Joint Center for Structural Genomics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many applications in which quantitative information about DNA mixtures with different molecular lengths is important. Gene therapy vectors are much longer than can be sequenced individually via short-read NGS. However, vector preparations may contain smaller DNAs that behave differently during sequencing. We have used two library preparations each for Pacific Biosystems (PacBio) and Oxford Nanopore Technologies NGS to determine their suitability for quantitative assessment of varying sized DNAs. Equimolar length standards were generated from E. coli genomic DNA. Both PacBio library preparations provided a consistent length dependence though with a complex pattern. This method is sufficiently sensitive that differences in genomic copy number between DNA from E. coli grown in exponential and stationary phase conditions could be detected. The transposase-based Oxford Nanopore library preparation provided a predictable length dependence, but the random sequence starts caused the loss of original length information. The ligation-based approach retained length information but read frequency was more variable. Modeling of E. coli versus lambda read frequency via cubic spline smoothing showed that the shorter genome could be used as a suitable internal spike-in for DNAs in the 200 bp to 10 kb range, allowing meaningful QC to be carried out with AAV preparations.

Indexed as

Escherichia coliHigh-Throughput Nucleotide SequencingCalibrationDNASequence Analysis, DNADNA

Identifiers

PMID36319642
PMCPMC9626564
OpenAlexW4308025754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.