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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Frag'n'Flow: automated workflow for large-scale quantitative proteomics in high performance computing environments.
PMID 41486154 · PMC12828970 · BMC bioinformatics · 2026 · 8 claims · 8 setups
Frag'n'Flow is a Nextflow-based pipeline that encapsulates FragPipe, automating manifest/workflow generation, tool dependency management, and downstream analysis for HPC/cloud/cluster environments.
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Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.
PMID 41650244 · PMC12890892 · Proceedings of the National Academy of Sciences of the United States of America · 2026 · 8 claims · 7 setups
SuperMap learns cross-modal feature mappings directly from unpaired multimodal data without requiring paired training data
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FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.
PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups
FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells
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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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Ultra-precision deconvolution of spatial transcriptomics decodes immune heterogeneity and fate-defining programs in tissues.
PMID 41862467 · PMC13168514 · Nature communications · 2026 · 8 claims · 8 setups
UCASpatial is a novel deconvolution algorithm that uses Shannon entropy-based gene weighting combined with weighted non-negative least squares to estimate cell-type composition from spatial transcriptomics data
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FEDRANN: effective long-read overlap detection based on dimensionality reduction and approximate nearest neighbors.
PMID 42102720 · PMC13201080 · GigaScience · 2026 · 8 claims · 6 setups
A pipeline combining IDF transformation, sparse random projection (SRP), and NNDescent (the FEDRANN strategy) enables accurate overlap detection across diverse long-read datasets