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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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CRISPR and Genetic Engineering
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,698 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,698 works in the cohort · of 4,299,418page 36 of 54

Labels cover 7 of 2,698 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,698 of 2,698 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Synthetic DNA and RNA Programming
Patrick O’Donoghue, Ilka U. Heinemann
2019· editorial· en· Genes· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Homology Directed Repair by Cas9:Donor Co-localization in Mammalian Cells
Philip J. R. Roche, Heidi Gytz, Faiz Hussain, Christopher J. F. Cameron, Denis Paquette, Mathieu Blanchette +3 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
CRISPR-Cas9-Mediated Precise Knock-In Edits in Zebrafish Hearts
Kyle E Simpson, Shoaib Faizi, Ravichandra Venkateshappa, Mandy Yip, Raj Johal, Damon Poburko +5 more
2022· article· en· Journal of Visualized Experiments· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
CRISPR-Cas Systems: Making the Cut
Alexander P. Hynes, Sylvain Moineau
2014· article· en· Microbe Magazine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Virus-Like Particles as a CRISPR-Cas9 Delivery Tool
Sanskriti Shindadkar, Kari M. Severson
2024· article· en· Journal of Undergraduate Life Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Somatic DNA recombination in a mouse genomic region, BC-1, in brain and non-brain tissueThis paper is one of a selection of papers published in this Special Issue, entitled The Nucleus: A Cell Within A Cell.
Toyoki Maeda, Ryuzo Mizuno, Masahiro Sugano, Shinji Satoh, Jun-ichi Oyama, Saburo Sakoda +2 more
2006· article· en· Canadian Journal of Physiology and Pharmacology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Invertebrate Metabolism
Norbert H. Haunerland
2003· other· en· Encyclopedia of Life Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Reproducibility metrics for CRISPR screens
Maximilian Billmann, Henry N. Ward, Michael Aregger, Michael Costanzo, Brenda Andrews, Charles Boone +2 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
2
citations

How this was built: Screen · Findings · About