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 · 83
Hobbes: optimized gram-based methods for efficient read alignment.
PMID 22199254 · PMC3315303 · Nucleic acids research · 2012 · 8 claims · 4 setups
Hobbes, a gram-based short-read mapper supporting Hamming and edit distance, is faster than all other read-mapping programs tested while maintaining high mapping quality.
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Has reproduction · 84
randPedPCA: rapid approximation of principal components from large pedigrees.
PMID 40877802 · PMC12392600 · Genetics, selection, evolution : GSE · 2025 · 7 claims · 2 setups
Matrix-vector multiplication with the dense additive relationship matrix A can be performed implicitly and efficiently via forward/backward substitution using the sparse inverse relationship (Cholesky) factor L^-1, avoiding explicit construction of A.
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Has reproduction · 68
Bayesian transcriptome assembly.
PMID 25367074 · PMC4397945 · Genome biology · 2014 · 8 claims · 8 setups
Bayesembler, a probabilistic transcriptome assembler built on a Bayesian model of the RNA sequencing process with Gibbs sampling over expressed candidates, abundances and read assignments, is introduced.
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RUMINA: high-throughput deduplication of unique molecular identifiers for amplicon and whole-genome sequencing with enhanced error correction.
PMID 41734278 · PMC12975283 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups
RUMINA improves detection accuracy of ultra-low frequency SNVs (0.01%-1%) compared to UMI-tools and UMICollapse
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DAESC + : high-performance, integrated software for single-cell allele-specific expression data.
PMID 41851619 · PMC13169709 · BMC bioinformatics · 2026 · 8 claims · 6 setups
DAESC+ is a dual-module, end-to-end software package (DAESC-P for preprocessing, DAESC-GPU for differential analysis) for single-cell ASE data
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Cell neighborhood topology directs rare cell population identification.
PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups
RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data