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 · 68
Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants.
PMID 41647537 · PMC12869734 · Fundamental research · 2026 · 6 claims · 3 setups
scCluster, an end-to-end deep clustering model integrating gene expression and expressed variant (eSNP) features, stratifies cell subpopulations in cancer scRNA-seq data.
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Full-text index only
BFAST: an alignment tool for large scale genome resequencing.
PMID 19907642 · PMC2770639 · PloS one · 2009 · 7 claims · 4 setups
BFAST is a new algorithm and freely available software tool for aligning large-scale short-read sequencing data to large reference genomes with user-customizable speed and accuracy
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Has reproduction · 100
poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing.
PMID 34394197 · PMC8355734 · Frontiers in genetics · 2021 · 8 claims · 8 setups
poreCov is an easy-to-use, fast, and robust Nextflow-based workflow for reference-based SARS-CoV-2 genome reconstruction and lineage determination from nanopore sequencing data
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Has reproduction · 67
binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets.
PMID 36239393 · PMC9677464 · Briefings in bioinformatics · 2022 · 8 claims · 8 setups
binny outperforms or is highly competitive with commonly used and state-of-the-art binning methods (MetaBAT2, MaxBin2, CONCOCT, VAMB, SemiBin, MetaDecoder)
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Has reproduction · 40
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.
PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups
DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.
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Has reproduction · 67
snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.
PMID 34900230 · PMC8637247 · F1000Research · 2021 · 8 claims · 4 setups
snpQT is a scalable, stand-alone software pipeline using nextflow and BioContainers for comprehensive, reproducible, interactive QC of human genomic data.
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Has reproduction · 94
Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.
PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups
Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies
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Has reproduction · 76
Tracing human genetic histories and natural selection with precise local ancestry inference.
PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups
Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.
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Has reproduction · 83
ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.
PMID 41790830 · PMC12991369 · PLoS computational biology · 2026 · 8 claims · 3 setups
ConNIS provides an analytic solution for the probability of observing the longest insertion-free sequence within a gene given its length and number of insertion sites under non-essentiality.
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Has reproduction
Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.
PMID 39682743 · PMC11640164 · Cells · 2024 · 7 claims · 4 setups
Immune-activation-related T-cell populations (APA, TRM, stem-like, early/late dysfunctional T-cells) are more heavily infiltrated in ICI-responsive malignancies (melanoma, bladder) than in poorly responsive ones (ovarian, pancreatic).
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Using multiple alignments to improve seeded local alignment algorithms.
PMID 16100379 · PMC1185574 · Nucleic acids research · 2005 · 8 claims · 2 setups
Using information implicit in a multiple alignment to dynamically build a spaced-seed index weighted toward promising regions increases sensitivity of local alignment search compared to indexing a sequence alone