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 · 74
Transcriptome profiling of Giardia intestinalis using strand-specific RNA-seq.
PMID 23555231 · PMC3610916 · PLoS computational biology · 2013 · 8 claims · 8 setups
Most of the G. intestinalis genome is transcribed in in vitro-grown trophozoites, but at vastly different expression levels.
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Has reproduction · 59
Nucleosome regulatory dynamics in response to TGFβ.
PMID 24771338 · PMC4066760 · Nucleic acids research · 2014 · 8 claims · 7 setups
SuMMIt, a Bayesian strand-based mixture model requiring support from both ends of sequenced fragments, enables precise nucleosome mid-position calling, fuzziness scoring and between-condition change detection.
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Genome-wide analysis of antisense transcription with Affymetrix exon array.
PMID 18211689 · PMC2257944 · BMC genomics · 2008 · 8 claims · 4 setups
A modified cDNA synthesis protocol (ATE: Antisense Transcriptome analysis using Exon array), which skips the first-cycle cDNA synthesis and IVT amplification step, labels cDNA in reverse orientation, enabling Exon arrays to detect antisense transcripts
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SNPmasker: automatic masking of SNPs and repeats across eukaryotic genomes.
PMID 16845091 · PMC1538889 · Nucleic acids research · 2006 · 8 claims · 4 setups
SNPmasker is a web service combining SNP masking and repeat masking, supporting both coordinate-defined and homology-search-defined input regions, a combination not offered by prior tools
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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.