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Record W2957924702 · doi:10.1002/yea.1530

13. Bioinformatics and genome-wide studies

2007· article· en· W2957924702 on OpenAlex
Daniel Lacker, Traude H. Beilharz, Samuel Marguerat, Juan Mata, Stephen M. Watt, Falk Schubert, Thomas Preiß, Jürg Bähler, Sharon Berthelet, Jean‐Philippe Lambert, Daniel Figeys, Anthony R. Borneman, Tara A. Gianoulis, Zhengdong D. Zhang, Joel Rozowsky, Michael Seringhaus, Mark Gerstein, M Snyder, James A. L. Brown, Nicola Burrows, John C. Game, Martin M. Brown, Juan Carlos Martínez‐Castrillo, Leo Zeef, David C. Hoyle, Nianshu Zhang, Andrew Hayes, David C. Gardner, Michael Cornell, June Petty, Luke Hakes, Leanne Wardleworth, Bharat Rash, Marie Brown, Warwick B. Dunn, David Broadhurst, Kerry O'Donoghue, Svenja Hester, Tom Dunkley, Sarah Hart, Negardneril Swainston, Simon J. Gaskell, Norman W. Paton, Kathryn S. Lilley, Douglas B. Kell, Stephen G. Oliver, J Cherry, Neil D. Clarke, Chuan Yeo, Xuan Yeo, Ye Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueYeast · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsUniversity of Ottawa
FundersNational Institutes of Health
KeywordsBiologyComputational biologyGenomeBioinformaticsEvolutionary biologyGeneticsGene

Abstract

fetched live from OpenAlex

Gene expression is controlled at multiple layers, and cells may integrate different regulatory steps for coherent production of proper protein levels. We applied various microarray-based approaches to determine key gene expression intermediates in exponentially growing fission yeast, providing genome-wide data for translational profiles, mRNA steady-state levels, polyadenylation profiles, start-codon sequence context, mRNA half-lives, and RNA polymerase II occupancy. We uncovered widespread and unexpected relationships between distinct aspects of gene expression. Translation and polyadenylation are aligned on a global scale with both the lengths and levels of mRNAs: efficiently translated mRNAs have longer poly(A) tails and are shorter, more stable, and more efficiently transcribed on average. Transcription and translation may be independently but congruently optimized to streamline protein production. These rich data sets, all acquired under a standardized condition, reveal a substantial coordination between regulatory layers and provide a basis for a systems-level understanding of multi-layered gene expression programs.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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