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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Has reproduction · 37
A Bayesian approach to accurate and robust signature detection on LINCS L1000 data.
PMID 32003771 · PMC7203754 · Bioinformatics (Oxford, England) · 2020 · 7 claims · 4 setups
A novel Bayesian peak deconvolution algorithm gives unbiased likelihood estimations for peak locations and derives probability-based z-scores.
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GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis.
PMID 41769841 · PMC12970594 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
Incomplete/inaccurate gene annotations, especially missing or truncated 3' UTRs, cause reads to map to non-genic regions and genes to be under-quantified or missing from scRNA-seq expression matrices in non-model species
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Trimmomatic: a decade of feature-rich, high-performance NGS read preprocessing.
PMID 42178219 · PMC13242794 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups
A high-performance multithreading architecture allows batches of read pairs to be processed independently by a pool of worker threads, scaling efficiently with available hardware.
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EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.
PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups
EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs
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CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.
PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory
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CLAMP: predicting specific protein-mediated chromatin loops in diverse species with a chromatin accessibility language model.
PMID 41555433 · PMC12903630 · Genome biology · 2026 · 8 claims · 8 setups
CLAMP, a chromatin-accessibility language model, predicts protein-mediated chromatin loops across 10 species, 18 proteins, and 24 cell types with superior performance versus existing methods.