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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Genome comparison without alignment using shortest unique substrings.
PMID 15910684 · PMC1166540 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A number of sequence comparison tasks, including detection of unique genomic regions, can be accomplished efficiently without an alignment step using shortest unique substrings.
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A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.
PMID 18615428 · PMC2855839 · Proteomics · 2008 · 6 claims · 4 setups
Noise in SELDI-TOF/MALDI-TOF mass spectrometry data is heteroscedastic across the m/z range, with larger variance at lower m/z values, contrary to the homogeneous noise assumption of existing wavelet denoising methods.
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The biological function of some human transcription factor binding motifs varies with position relative to the transcription start site.
PMID 18367472 · PMC2377430 · Nucleic acids research · 2008 · 8 claims · 5 setups
1226 eight-letter DNA words show statistically significant positional preferences relative to the TSS across 7914 human promoter regions
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings.
PMID 41555918 · PMC12812404 · Frontiers in genetics · 2025 · 7 claims · 5 setups
LiVAE, a dual-pathway VAE with Lorentzian geometric regularization between a primary Euclidean pathway and an information-bottleneck pathway, balances local fidelity with global topology coherence in single-cell embeddings
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TEPEAK: A novel method for identifying and characterizing polymorphic transposable elements in non-model species populations.
PMID 41494038 · PMC12788660 · PLoS computational biology · 2026 · 8 claims · 6 setups
TEPEAK identifies and characterizes polymorphic TEs in populations without any prior TE sequence or loci information, using only a chromosome-level reference assembly.