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 · 67
GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure.
PMID 35501696 · PMC9063052 · BMC bioinformatics · 2022 · 6 claims · 3 setups
GEMmaker, an nf-core compliant Nextflow workflow, can quantify gene expression from small to massive RNA-seq datasets while remaining reproducible via versioned containerized software.
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CRESCENT, a comprehensive RNA-Seq expression, splicing, and coding/non-coding element network tool.
PMID 41566196 · PMC12895761 · BMC bioinformatics · 2026 · 6 claims · 6 setups
CRESCENT is a Snakemake workflow performing fully automated, comprehensive RNA-Seq analysis integrating differential expression, differential alternative splicing (DAS), differential transcript usage (DTU), and GO enrichment
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umite: fast quantification of Smart-seq3 libraries with improved UMI retrieval.
PMID 41692984 · PMC12989134 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
umite offers efficient mismatch-tolerant (fuzzy) UMI detection that boosts UMI retrieval by 5%-15% compared to standard position-based matching
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Full-text index only
DupyliCate: mining, classifying, and characterizing gene duplications.
PMID 42209743 · PMC13219399 · Scientific reports · 2026 · 8 claims · 8 setups
DupyliCate is a Python tool for identifying and classifying gene duplication arrays, using BUSCO-based species-specific thresholds and offering integrated expression divergence and Ka/Ks analysis.
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Has reproduction · 79
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups
ParProx implements latent group lasso penalized regression (overlapping and non-overlapping groups) for survival (Cox) and classification (logistic) analysis of omics data.