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Record W2255138220 · doi:10.1101/pdb.top077784

Single-Molecule Analysis of Replicating Yeast Chromosomes

2016· article· en· W2255138220 on OpenAlexafffund
David Gallo, Gang Wang, Christopher M. Yip, Grant W. Brown

Bibliographic record

VenueCold Spring Harbor Protocols · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsDNA replicationControl of chromosome duplicationDNAEukaryotic DNA replicationReplication (statistics)Origin recognition complexOrigin of replicationCell biologyS phaseBiologyBiophysicsChemistryComputational biologyMolecular biologyGenetics

Abstract

fetched live from OpenAlex

The faithful replication of eukaryotic chromosomal DNA occurs during S phase once per cell cycle. Replication is highly regulated and is initiated at special structures, termed origins, from which replication forks move out bidirectionally. A wide variety of techniques have been developed to study the features and kinetics of replication. Many of these, such as those based on flow cytometry and two-dimensional and pulsed-field gel electrophoresis, give a population-level view of replication. However, an alternative approach, DNA fiber analysis, which was originally developed more than 50 years ago, has the advantage of revealing features of replication at the level of individual DNA fibers. Initially based on autoradiography, this technique has been superseded by immunofluorescence-based detection of incorporated halogenated thymidine analogs. Furthermore, derivations of this technique have been developed to distribute and stretch the labeled DNA fibers uniformly on optically clear surfaces. As described here, one such technique-DNA combing, in which DNA is combed onto silanized coverslips-has been used successfully to monitor replication fork progression and origin usage in budding yeast.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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

Citations7
Published2016
Admission routes2
Has abstractyes

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