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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OTMODE: an optimal transport theory-based framework for identifying differential features in single-cell multi-omics data.
PMID 41335419 · PMC12766913 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
OTMODE, using an unbalanced Sinkhorn algorithm and Wald test, improves differential feature identification in single-cell multi-omics data
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A negative binomial latent factor model for paired microbiome sequencing data.
PMID 41572173 · PMC12910815 · BMC bioinformatics · 2026 · 8 claims · 2 setups
A negative binomial model with a shared taxon-specific latent factor (JNBM) captures cross-site correlation between paired microbiome samples from two body sites.
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Assessment of dispersion metrics for estimating single-cell transcriptional variability.
PMID 41770747 · PMC12970974 · PLoS computational biology · 2026 · 7 claims · 4 setups
The variance-to-mean ratio (VMR/Fano factor) scales approximately linearly with increasing dispersion and is independent of dataset size.
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Direct maximum parsimony phylogeny reconstruction from genotype data.
PMID 18053244 · PMC2222657 · BMC bioinformatics · 2007 · 6 claims · 4 setups
The paper presents the first practical method for computing maximum parsimony phylogenies directly from genotype data, using integer linear programming.
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Charting spatial ligand-target activity using Renoir.
PMID 42086556 · PMC13144314 · Nature communications · 2026 · 8 claims · 8 setups
Renoir computes a neighborhood activity score for curated ligand-target pairs at each spatial spot/cell by integrating cell type abundance, cell type-specific mRNA abundance, receptor expression, gene entropy, and mutual information between ligand and target genes.
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Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.
PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups
DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics
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Has reproduction · 64
Nimbus: a design-driven analyses suite for amplicon-based NGS data.
PMID 29538618 · PMC6084620 · Bioinformatics (Oxford, England) · 2018 · 7 claims · 5 setups
Nimbus tracks the source amplicon of reads throughout alignment and SNP/InDel calling
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Has reproduction · 89
TrEMOLO: accurate transposable element allele frequency estimation using long-read sequencing data combining assembly and mapping-based approaches.
PMID 37013657 · PMC10069131 · Genome biology · 2023 · 6 claims · 6 setups
TrEMOLO combines an assembly-based INSIDER module and a mapping-based OUTSIDER module to detect TE insertions/deletions from long-read sequencing data and estimate their allele frequency
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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Accuracy of predicting the genetic risk of disease using a genome-wide approach.
PMID 18852893 · PMC2561058 · PloS one · 2008 · 8 claims · 4 setups
Deterministic equations can predict the accuracy (r_gĝ) of genome-wide genetic risk/value prediction for continuous, dichotomous, and case-control study designs.
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Differential expression analysis in single-cell and spatial RNA-seq without model assumptions.
PMID 41980775 · PMC13198004 · Cell reports methods · 2026 · 7 claims · 4 setups
Common DGE analysis methods (Wilcoxon test, unweighted t-test, pseudo-bulk aggregation, SCTransform-style parametrization) rely on unnecessary simplifications and assumptions that are inconsistent with experimental data and cause false findings
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Detecting transcriptionally active regions using genomic tiling arrays.
PMID 16859498 · PMC1779562 · Genome biology · 2006 · 8 claims · 4 setups
A non-parametric method (TranscriptionDetector) integrates single-channel p-values from multiple replicate arrays into a multi-channel p-value (MCPV) to identify transcribed probed loci without assumptions about intensity distributions.
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Has reproduction · 50
Estimating and Correcting for Off-Target Cellular Contamination in Brain Cell Type Specific RNA-Seq Data.
PMID 33746712 · PMC7966716 · Frontiers in molecular neuroscience · 2021 · 7 claims · 7 setups
sctRNA-seq datasets (particularly LCM-seq) show measurable off-target mRNA contamination from surrounding cell types
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Direct inference of SNP heterozygosity rates and resolution of LOH detection.
PMID 18052545 · PMC2098867 · PLoS computational biology · 2007 · 6 claims · 7 setups
A large proportion of SNPs in dbSNP have high-variance HET rate estimates, limiting their reliability for LOH study design.
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 6 setups
Genetic variation-based demultiplexing tools can be effectively deployed on pooled scRNA-seq experimental designs in cancer tissue (HGSOC and lung adenocarcinoma) despite somatic variation.
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Has reproduction · 58
A comparative study of techniques for differential expression analysis on RNA-Seq data.
PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups
edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.
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Systematic background selection with BasCoD enhances contrastive dimension reduction in single cell genomics.
PMID 41844632 · PMC13144610 · Nature communications · 2026 · 8 claims · 7 setups
BasCoD is a statistical testing framework using spectral subspace inclusion theory to evaluate whether a candidate background dataset is suitable for contrastive dimension reduction of a target dataset
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PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size.
PMID 16620382 · PMC1459209 · BMC bioinformatics · 2006 · 7 claims · 3 setups
PedGenie is a valid, flexible statistical tool for genetic association analysis in pedigrees of arbitrary size and structure using Monte Carlo significance testing
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Getting started in computational immunology.
PMID 18769677 · PMC2518523 · PLoS computational biology · 2008 · 8 claims · 7 setups
Affinity maturation is driven by cycles of somatic hypermutation and affinity-dependent selection acting on B cell Ig receptors.