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Record W2168787806 · doi:10.2144/000112902

Plasmid Sonication Improves Sequencing Efficiency and Quality in the Beckman Coulter CEQ System

2008· article· en· W2168787806 on OpenAlexafffund
Mark Thompson, Kelly G. Aukema, Dana M. O’Bryan, Stephen D. Rader, Brent W. Murray

Bibliographic record

VenueBioTechniques · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Northern British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPlasmidSonicationCoulter counterDNADNA sequencingSequence (biology)ChromatographyChemistryMolecular biologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

We report on an unexpectedly high rate of unreadable chromatograms from plasmid sequencing using Beckman Coulter's protocols, chemistry, and CEQ8000 instrument. Failed or poor quality plasmid sequence chromatograms were accompanied by a sharp drop, fluctuation, or steady decline in the current and a corresponding delay in signal counts beyond the time of capillary injection. We observe a correlation between the presence of supercoiled DNA and these sequencing problems. Herein we demonstrate that plasmid sonication, which is known to fragment supercoiled DNA, is an effective way to improve sequence phred20 read lengths to the point that they are not significantly different from Beckman Coulter's control template or enzymatically linearized plasmids.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.296
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2008
Admission routes2
Has abstractyes

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