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Record W2980930393 · doi:10.1051/medsci/2019154

La transplantation de génomes

2019· review· fr· W2980930393 on OpenAlexaff
Fabien Labroussaa, Vincent Baby, Sébastien Rodrigue, Carole Lartigue

Bibliographic record

Venuemédecine/sciences · 2019
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsGenomeTransplantationSaccharomyces cerevisiaeYeastBiologyGeneticsGeneMedicine

Abstract

fetched live from OpenAlex

The development of synthetic genomics (SG) allowed the emergence of several groundbreaking techniques including the synthesis, assembly and engineering of whole bacterial genomes. The successful implantation of those methods, which culminated in the creation of JCVI-syn3.0 the first nearly minimal bacterium with a synthetic genome, mainly results from the use of the yeast Saccharomyces cerevisiae as a transient host for bacterial genome replication and modification. Another method played a key role in the resounding success of this project: bacterial genome transplantation (GT). GT consists in the transfer of bacterial genomes cloned in yeast, back into a cellular environment suitable for the expression of their genetic content. While successful using many mycoplasma species, a complete understanding of the factors governing GT will most certainly help unleash the power of the entire SG pipeline to other genetically intractable bacteria.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.323
Teacher spread0.277 · 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 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

Citations5
Published2019
Admission routes1
Has abstractyes

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