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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SNiPer: improved SNP genotype calling for Affymetrix 10K GeneChip microarray data.
PMID 16262895 · PMC1280925 · BMC genomics · 2005 · 8 claims · 5 setups
Poorly performing SNPs (NoCall rate ≥25%) fail primarily due to inadequate training/localization of the MPAM statistical model call zone, not detection filter failure
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Identification of disease causing loci using an array-based genotyping approach on pooled DNA.
PMID 16197552 · PMC1262713 · BMC genomics · 2005 · 8 claims · 5 setups
Pooling genomic DNA and genotyping on SNP microarrays accurately predicts allelic frequencies relative to individual genotyping
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QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.
PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups
QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)
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Machine-learning approaches for classifying haplogroup from Y chromosome STR data.
PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups
Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information
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Has reproduction
Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.
PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 5 claims · 6 setups
SLDP selects a subset of WGS variants using GWAS prior information (P-value threshold) combined with LD pruning (r2) to improve genomic prediction accuracy.
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A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.
PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups
A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types