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Record W2060165205 · doi:10.1002/elps.200600838

Molecular deformation and free‐solution electrophoresis of DNA‐uncharged polymer conjugates at high field strengths: Theoretical predictions Part 2: Stretching

2007· article· en· W2060165205 on OpenAlexaff
Laurette C. McCormick, Gary W. Slater

Bibliographic record

VenueElectrophoresis · 2007
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Ottawa
FundersNational Human Genome Research Institute
KeywordsDragElectrophoresisDNADeformation (meteorology)PolymerRandom coilChemistryNanotechnologyChemical physicsChromatographyMaterials scienceMechanicsPhysicsCrystallographyComposite materialBiochemistry

Abstract

fetched live from OpenAlex

DNA sequencing by electrophoresis can be dramatically sped up by overcoming the need for the sieving medium. Normally it is possible to separate DNA based on size in free solution; however, not end-labeled free-solution electrophoresis (ELFSE) uses a neutral drag-tag molecule to make it possible. In experiments to date, the drag-tag and DNA together form a random coil conformation; while with future generation drag-tags and high fields, deformation of this conformation may occur. In the first paper in this series we investigated the conditions under which the DNA and label become hydrodynamically distinct (or segregated), based on a theoretical approach developed for the electrophoresis of polyampholytes. In this paper we study further deformation wherein either the DNA and/or a polymeric label stretch. We show that deformation may dramatically improve the capabilities of ELFSE, especially when both the DNA and a polymeric drag-tag fully stretch; however, reaching these regimes will require extremely high field intensities, something that only microchip technologies may be able to achieve.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.002
GPT teacher head0.183
Teacher spread0.181 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations7
Published2007
Admission routes1
Has abstractyes

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