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 · 100
Integrative transcriptome sequencing identifies trans-splicing events with important roles in human embryonic stem cell pluripotency.
PMID 24131564 · PMC3875859 · Genome research · 2014 · 8 claims · 8 setups
TSscan, a computational pipeline integrating long- and short-read transcriptome sequencing from multiple hESC lines, can detect trans-splicing while minimizing false positives from experimental artifacts and genetic rearrangements.
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Has reproduction · 100
A Bioinformatics Workflow to Identify eccDNA Using ECCFP From Long-Read Nanopore Sequencing Data.
PMID 41924242 · PMC13037781 · Bio-protocol · 2026 · 7 claims · 5 setups
ECCFP significantly improves eccDNA detection sensitivity, accuracy, and runtime efficiency compared to other pipelines
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Has reproduction · 87
Extensive variation between chromosomes of North American and European hop.
PMID 42204144 · PMC13216280 · Nature communications · 2026 · 8 claims · 8 setups
Chromosome-scale, haplotype-resolved genome assemblies of the hybrid hop cultivar Apollo were generated using hifiasm, ALLHiC, and TRITEX pipelines with PacBio HiFi and Hi-C data
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Has reproduction · 50
The HCV Envelope Glycoprotein Down-Modulates NF-κB Signalling and Associates With Stimulation of the Host Endoplasmic Reticulum Stress Pathway.
PMID 35371105 · PMC8964954 · Frontiers in immunology · 2022 · 8 claims · 8 setups
HCV E1E2 glycoproteins, and more so E2, down-modulate HIV-1 LTR activation in 293T, TZM-bl and Huh7 cells
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Has reproduction · 68
Bayesian transcriptome assembly.
PMID 25367074 · PMC4397945 · Genome biology · 2014 · 8 claims · 8 setups
Bayesembler, a probabilistic transcriptome assembler built on a Bayesian model of the RNA sequencing process with Gibbs sampling over expressed candidates, abundances and read assignments, is introduced.