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Record W4409294353 · doi:10.1101/2025.04.07.647662

ReCycled: A Tool to Reset the Start of Circular Bacterial Chromosomes

2025· preprint· en· W4409294353 on OpenAlexaff
Vincent Somerville, Michael Schmid, Matthias Dreier, Philipp Engel

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversité Laval
FundersAgroscopeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsReset (finance)Computer scienceBusiness

Abstract

fetched live from OpenAlex

Abstract Summary (two sentences) For many publicly available bacterial genomes the chromosome start is not set at the replication initiation protein. This is a burden for comparative genomics studies as the synteny between such genomes cannot readily be assessed. Here, we present ReCycled, a tool for identifying and resetting the start of circular bacterial chromosomes. Availability and implementation Freely available on GitHub at https://github.com/Freevini/ReCycled under the GPL-3.0 license. Runs on all tested GNU/Linux systems. Contact Vincent Somerville, vincent@somerville.earth Supplementary Information The analyses, scripts and data to test the different pipelines are deposited online on zenodo (10.5281/zenodo.15170502).

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)0.013
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: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.097
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0970.055

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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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
GenreSoftware

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

Citations1
Published2025
Admission routes1
Has abstractyes

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