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 · 57
Genome-wide screening of potential RNase Y-processed mRNAs in the M49 serotype Streptococcus pyogenes NZ131.
PMID 29900693 · PMC6460267 · MicrobiologyOpen · 2019 · 8 claims · 7 setups
RNase Y selectively processes GAS mRNA, but its overall impact is confined to a limited set of virulence factor transcripts.
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SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells.
PMID 20008100 · PMC2836562 · Nucleic acids research · 2010 · 8 claims · 6 setups
SeqBuster is a versatile web-based and stand-alone bioinformatic toolkit for processing and analyzing large-scale small RNA deep sequencing datasets.
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Has reproduction · 74
Exploring candidate genes for pericarp russet pigmentation of sand pear (Pyrus pyrifolia) via RNA-Seq data in two genotypes contrasting for pericarp color.
PMID 24400075 · PMC3882208 · PloS one · 2014 · 8 claims · 5 setups
RNA-seq-based bulked segregant analysis of russet- vs green-pericarp F1 pools identified 29,100 unigenes, 206 of which were significantly differentially expressed (|log2 fold change| > 1).
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Has reproduction · 86
The selection of software and database for metagenomics sequence analysis impacts the outcome of microbial profiling and pathogen detection.
PMID 37027361 · PMC10081788 · PloS one · 2023 · 7 claims · 7 setups
Obtaining an accurate species-level microbial profile using current direct-read metagenomics profiling software is still a challenging task.
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Improvements to cardiovascular gene ontology.
PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups
Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.