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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Souporcell3: robust demultiplexing for high-donor single-cell RNA-seq datasets.
PMID 41808435 · PMC13012599 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups
Souporcell3 can robustly demultiplex pooled scRNA-seq data from up to 64 donors
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nf-core/proteinfamilies: a scalable pipeline for the generation of protein families.
PMID 41563008 · PMC12950615 · GigaScience · 2026 · 8 claims · 3 setups
nf-core/proteinfamilies is a scalable, parametrizable, open-source Nextflow pipeline that generates new protein families or assigns sequences to existing families using profile HMMs and MSAs
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Has reproduction · 65
FusionQ: a novel approach for gene fusion detection and quantification from paired-end RNA-Seq.
PMID 23768108 · PMC3691734 · BMC bioinformatics · 2013 · 8 claims · 8 setups
FusionQ is a novel tool that detects gene fusions, constructs chimerical transcript structures, and estimates their abundances from paired-end RNA-Seq data.
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Has reproduction · 61
TEMP: a computational method for analyzing transposable element polymorphism in populations.
PMID 24753423 · PMC4066757 · Nucleic acids research · 2014 · 8 claims · 8 setups
TEMP combines pair-end (discordant) read and split (soft-clipped) read information to identify both presence and absence of TE insertions in genomic DNA from heterogeneous/pooled samples.
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Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.
PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups
A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies