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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In silico analysis of missense substitutions using sequence-alignment based methods.
PMID 18951440 · PMC3431198 · Human mutation · 2008 · 8 claims · 7 setups
Carefully validated PMSA-based computational algorithms can achieve predictive values of ~75-95% for classifying missense substitutions as pathogenic or neutral.
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Has reproduction · 89
MirDIP 5.2: tissue context annotation and novel microRNA curation.
PMID 36453996 · PMC9825511 · Nucleic acids research · 2023 · 7 claims · 6 setups
mirDIP 5.2 removed eight outdated resources, added miRNATIP, and ran five prediction algorithms against miRBase and mirGeneDB miRNAs to expand and improve interaction coverage
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Has reproduction · 100
Intratumoral heterogeneity in microsatellite instability status at single-cell resolution.
PMID 41767255 · PMC12936829 · iScience · 2026 · 8 claims · 7 setups
A novel computational (Snakemake) pipeline quantifies intratumoral heterogeneity in MSI status at single-cell resolution
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How many human genes can be defined as housekeeping with current expression data?
PMID 18416810 · PMC2396180 · BMC genomics · 2008 · 8 claims · 4 setups
Current EST and microarray transcriptome sampling is far from saturated, limiting gene detectability and understanding of tissue-specific expression
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Benchmarking tools for deciphering cellular crosstalk in spatially-resolved transcriptomics.
PMID 41952215 · PMC13174004 · Genome biology · 2026 · 8 claims · 5 setups
No prior systematic, quantitative benchmark exists for CCI inference methods specifically developed for spatial transcriptomics across multiple platforms
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GOLD.db: genomics of lipid-associated disorders database.
PMID 15588328 · PMC544894 · BMC genomics · 2004 · 8 claims · 4 setups
GOLD.db integrates annotated pathways, gene/protein reference information, and curated gene expression datasets for lipid-associated disorders research
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Has reproduction · 45
Identifying and classifying trait linked polymorphisms in non-reference species by walking coloured de bruijn graphs.
PMID 23536903 · PMC3607606 · PloS one · 2013 · 8 claims · 9 setups
Bubbleparse detects sequence variants directly from NGS reads without a reference genome, using the coloured de Bruijn graph implementation of Cortex plus a new depth-first bubble-finding module.
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The functional landscape of alternative splicing in hematopoietic lineage commitment.
PMID 41593078 · PMC12946277 · Nature communications · 2026 · 7 claims · 8 setups
FAScore, a Random Forest model integrating 19 dynamic, structural, and conservation features, predicts functional exon-skipping AS events with high accuracy in a species- and lineage-specific manner.
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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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Has reproduction · 98
maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups
maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors
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Has reproduction · 79
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.
PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 8 setups
CLSM6A is a set of CNN-based deep learning models that predict single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens
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Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.
PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups
Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile