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
A workflow reproducibility scale for automatic validation of biological interpretation results.
PMID 37150537 · PMC10164546 · GigaScience · 2022 · 8 claims · 4 setups
Comparing output files by checksum alone is insufficient to verify reproducibility, since checksums can differ even when the underlying biological interpretation is unchanged
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Genomic expression during human myelopoiesis.
PMID 17683550 · PMC2045681 · BMC genomics · 2007 · 8 claims · 5 setups
An integrated myelopoiesis expression dataset of 9,425 genes, each mapped to a unique genomic position, was generated from 24 microarray experiments across 8 myeloid cell types.
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A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.
PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups
A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.
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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.
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Comparative genomics search for losses of long-established genes on the human lineage.
PMID 18085818 · PMC2134963 · PLoS computational biology · 2007 · 8 claims · 6 setups
A novel comparative genomics method (TransMap-based syntenic mapping of gene structures between human, mouse, and dog) can detect losses of well-established single-copy genes without relying on sequence homology to a parental gene, distinguishing them from typical duplication- or retrotransposition-derived pseudogenes.