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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GeneExt: a gene model extension tool for enhanced single-cell RNA-seq analysis.
PMID 41769841 · PMC12970594 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
Incomplete/inaccurate gene annotations, especially missing or truncated 3' UTRs, cause reads to map to non-genic regions and genes to be under-quantified or missing from scRNA-seq expression matrices in non-model species
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Developing a comprehensive database and search tool for single-cell ATAC-seq data.
PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups
scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format
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A generic reference defined by consensus peaks for single-cell ATAC-seq data analysis.
PMID 41663439 · PMC12996591 · Nature communications · 2026 · 7 claims · 7 setups
Aggregating peaks from 624 high-quality bulk ATAC-seq datasets defines ~1.4 million observed consensus peaks (cPeaks) covering ~30% of the genome.
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Spatially resolved integrative analysis of transcriptomic and metabolomic changes in tissue injury studies.
PMID 41501078 · PMC12780049 · Nature communications · 2026 · 8 claims · 7 setups
MAGPIE is a computational framework (Snakemake workflow) that co-registers Visium spatial transcriptomics with MSI metabolomics and tissue morphology images from same or consecutive sections
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CIRCE: a scalable Python package to predict cis-regulatory DNA interactions from single-cell chromatin accessibility data.
PMID 41734268 · PMC12987762 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups
CIRCE re-implements the Cicero co-accessibility algorithm in Python, producing near-identical results while running much faster and using far less memory
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ANOMALY: a Snakemake pipeline for identifying NuMTs from long-read sequencing data.
PMID 41647924 · PMC12869244 · NAR genomics and bioinformatics · 2026 · 8 claims · 8 setups
ANOMALY is a novel Snakemake pipeline for detecting NuMTs from long-read sequencing data