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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Full-text index only
Exome sequencing of a multigenerational human pedigree.
PMID 20011588 · PMC2788131 · PloS one · 2009 · 8 claims · 6 setups
Microarray-based exome capture combined with 454 GS FLX NGS is an efficient and reliable method to enrich for chromosomal regions of interest, validated on eight individuals from a three-generation pedigree
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Full-text index only
Effective quantitative real-time polymerase chain reaction analysis of the parkin gene (PARK2) exon 1-12 dosage.
PMID 17324265 · PMC1810516 · BMC medical genetics · 2007 · 8 claims · 3 setups
Developed a real-time TaqMan PCR method that quantifies PARK2 exon 1-12 copy number by comparing amplification signal to the β-globin internal control gene
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Has reproduction · 82
Landscape of allele-specific transcription factor binding in the human genome.
PMID 33980847 · PMC8115691 · Nature communications · 2021 · 8 claims · 6 setups
A novel statistical framework (ADASTRA) calls allele-specific TF binding from existing ChIP-Seq alignments by jointly correcting for background allelic dosage (BAD, from aneuploidy/CNVs) and reference mapping bias.
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Has reproduction · 50
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
PMID 33662629 · PMC9801043 · Genomics, proteomics & bioinformatics · 2022 · 8 claims · 8 setups
DeeReCT-APA quantitatively predicts the usage of all competing PASs of a gene simultaneously, rather than casting the problem as pairwise comparison like prior methods.
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Has reproduction · 50
RNA-Seq alignment to individualized genomes improves transcript abundance estimates in multiparent populations.
PMID 25236449 · PMC4174954 · Genetics · 2014 · 8 claims · 7 setups
Genetic variants distinguishing an individual genome from the reference cause read misalignment and biased transcript abundance estimates, and fine-tuning of alignment algorithms does not correct this problem.