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 · 97
CRISPRbuilder-TB: "CRISPR-builder for tuberculosis". Exhaustive reconstruction of the CRISPR locus in mycobacterium tuberculosis complex using SRA.
PMID 33667225 · PMC7968741 · PLoS computational biology · 2021 · 8 claims · 7 setups
CRISPRbuilder-TB is a new pipeline that reconstructs MTC CRISPR-Cas loci directly from short SRA reads without requiring genome assembly
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nf-core/crisprseq: a versatile pipeline for comprehensive analysis of CRISPR gene editing and screening assays.
PMID 41551929 · PMC12805889 · NAR genomics and bioinformatics · 2026 · 8 claims · 5 setups
nf-core/crisprseq is the first generic pipeline enabling analysis of the broad spectrum of CRISPR designs, from targeted gene edits (KO, KI, BE, PE) to large-scale functional screens
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PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.
PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups
PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.
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Integrated multi-omic atlas reveals the hierarchy of spatiotemporal regulatory networks of mouse gastrulation.
PMID 41526381 · PMC12902073 · Nature communications · 2026 · 8 claims · 8 setups
BioCRE, a novel bi-orientation regression algorithm, more accurately links genes to candidate cis-regulatory elements (CREs) than existing tools Signac and ArchR
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Interpretable learning of temporal cellular dynamics from single-cell data.
PMID 41875867 · PMC13030976 · Cell reports methods · 2026 · 7 claims · 7 setups
NeuroVelo couples a linear latent phase-space projection with a non-linear neural ODE, using RNA velocity as a physics-informed loss penalty, to jointly model cellular dynamics and enable gene-level interpretability
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scMILD: Single-cell multiple instance learning for sample classification and associated subpopulation discovery.
PMID 41907409 · PMC13019583 · iScience · 2026 · 8 claims · 8 setups
scMILD identifies condition-associated cells using only sample-level labels via a dual-branch MIL architecture with a shared encoder