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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The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.
PMID 15608292 · PMC540057 · Nucleic acids research · 2005 · 8 claims · 6 setups
Built a library of 1134 HMM models (359 matrix-derived, 718 factor-derived, 57 JASPAR-derived), corresponding to 863 distinct TF names, from TRANSFAC and JASPAR binding site data
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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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Has reproduction · 89
Evolution of Highly Repetitive Silk Genes in the Luna Moth, Actias luna.
PMID 41738778 · PMC12962854 · Genome biology and evolution · 2026 · 8 claims · 8 setups
Eight sericin genes were identified in the Actias luna genome, including two clusters of closely related paralogs.
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A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.
PMID 17996079 · PMC2206057 · BMC bioinformatics · 2007 · 8 claims · 7 setups
An HMM using paired germline genotype calls and tumour allelic SNP intensities can estimate allele-specific copy-numbers, distinguishing events like uniparental disomy from allelic imbalance.
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A model-based approach to selection of tag SNPs.
PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups
The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.
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Pathway analysis of kidney cancer using proteomics and metabolic profiling.
PMID 17123452 · PMC1665458 · Molecular cancer · 2006 · 8 claims · 8 setups
31 proteins are differentially expressed with high statistical significance (p<0.05) in ccRCC tumor tissue compared to adjacent non-malignant kidney tissue