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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Integration of bioinformatic tools for the detection of SARS-CoV-2 co-infection cases.
PMID 41609640 · PMC12856159 · Microbial genomics · 2026 · 8 claims · 8 setups
Sample PH-RITM-1395 represents a Delta–Omicron co-infection, confirmed by convergent evidence from Nextclade, bammix, Freyja, VirStrain, AAF analysis and amplicon sorting rather than contamination
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PeakPrime: a peak-guided primer design pipeline for target enrichment in 3'-end RNA-seq.
PMID 41919010 · PMC13034549 · Bioinformatics advances · 2026 · 8 claims · 7 setups
PeakPrime is a reproducible Nextflow pipeline that calls 3′ RNA-seq coverage peaks (MACS2), selects exonic windows, designs strand-appropriate primers (Primer3), and screens specificity (Bowtie2)
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scPASU: A computational protocol for quantifying polyadenylation site usage and alternative polyadenylation from 3' scRNA-seq data.
PMID 42085187 · PMC13157062 · STAR protocols · 2026 · 8 claims · 6 setups
scPASU is a Snakemake-based workflow that quantifies APA from standard 3′ scRNA-seq data without requiring specialized library preparation
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Temporal multiomics gene expression data across human embryonic stem cell-derived polyhormonal cell differentiation.
PMID 41545424 · PMC12920657 · Scientific data · 2026 · 8 claims · 8 setups
Generated a high-resolution, time-resolved multi-omics dataset (RNA-seq, ribosome profiling, and quantitative proteomics) tracking mRNA, translation, and protein dynamics across hESC differentiation into definitive endoderm and polyhormonal pancreatic cells
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Has reproduction · 73
Vespucci: a system for building annotated databases of nascent transcripts.
PMID 24304890 · PMC3936758 · Nucleic acids research · 2014 · 8 claims · 7 setups
Existing ChIP-seq and RNA-seq analysis platforms (e.g. Cufflinks, peak callers) are unsuited to GRO-seq because they assume spliced/exonic reads, uniform density and paired-end data, and cannot identify transcriptional units de novo across the whole genome.