Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.
PMID 17485433 · PMC5947781 · Bioinformatics (Oxford, England) · 2007 · 7 claims · 2 setups
AutoCSA is an automated algorithm, extended from the CSA protocol, that detects DNA sequence variants in cancer genomes with minimal manual intervention
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Has reproduction · 78
Single duplex DNA sequencing with CODEC detects mutations with high sensitivity.
PMID 37106072 · PMC10181940 · Nature genetics · 2023 · 8 claims · 8 setups
CODEC concatenates both strands of an original DNA duplex into a single NGS read pair via an adapter quadruplex and strand-displacing extension, enabling single-duplex resolution
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Has reproduction · 50
Performance of methods for SARS-CoV-2 variant detection and abundance estimation within mixed population samples.
PMID 36721781 · PMC9884472 · PeerJ · 2023 · 8 claims · 4 setups
Kallisto was the most accurate VCE on simulated data, having the lowest RRMSE, followed by Freyja
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Has reproduction · 50
Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas.
PMID 35701420 · PMC9197839 · Scientific data · 2022 · 8 claims · 5 setups
An open, containerised, Nextflow-orchestrated reanalysis pipeline combining metadata annotation, SWATH-MS analysis, statistical analysis, and Expression Atlas integration was developed for public DIA data.
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Completing the map of human genetic variation.
PMID 17495918 · PMC2685471 · Nature · 2007 · 8 claims · 5 setups
A community resource initiative will sequence fosmid and BAC clone libraries from 62 HapMap individuals to systematically discover and resolve structural genetic variants at nucleotide resolution
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Improvements to cardiovascular gene ontology.
PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups
Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.