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Record W1600930683 · doi:10.1002/0471143030.cb2220s65

Mapping Replication Origin Sequences in Eukaryotic Chromosomes

2014· review· en· W1600930683 on OpenAlexfundno aff
Haiqing Fu, Emilie Besnard, Romain Desprat, Michaël Ryan, Malik Kahli, Jean-Marc Lemaı̂tre, Mirit I. Aladjem

Bibliographic record

VenueCurrent Protocols in Cell Biology · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
FundersInstitute of Cancer ResearchNational Institutes of HealthInstitut National Du CancerNational Cancer InstituteLigue Contre le CancerAgence Nationale de la Recherche
KeywordsBiologyOrigin recognition complexComputational biologyGeneticsGenomeReplication timingChromatinDNA replicationPre-replication complexOrigin of replicationEukaryotic DNA replicationDNAGene

Abstract

fetched live from OpenAlex

Recent advances in genome-sequencing technology have led to the complete mapping of DNA replication initiation sites in the human genome. This thorough origin mapping facilitates understanding of the relationship between replication initiation events, transcription, and chromatin modifications, and allows the characterization of consensus sequences of potential replication origins. This unit provides a detailed protocol for isolation and sequence analysis of nascent DNA strands. Two variations of the protocol based on non-overlapping assumptions are described below, addressing potential bias issues for whole-genome analyses.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.088
GPT teacher head0.408
Teacher spread0.320 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2014
Admission routes1
Has abstractyes

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