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 · 85
Ensembl 2013.
PMID 23203987 · PMC3531136 · Nucleic acids research · 2013 · 8 claims · 8 setups
Ensembl (http://www.ensembl.org) provides genome information for sequenced chordate genomes, currently supporting 70 species with a focus on human, mouse, zebrafish and rat.
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Has reproduction · 50
The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.
PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 8 claims · 8 setups
Only two of seven published sepsis gene signatures (derived from adult/pediatric/geriatric cohorts) showed good concordance (>80% accuracy) when applied to infant sepsis, showing limited generalizability of non-infant signatures.
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Has reproduction · 80
GenomeChronicler: The Personal Genome Project UK Genomic Report Generator Pipeline.
PMID 33193602 · PMC7541957 · Frontiers in genetics · 2020 · 7 claims · 4 setups
GenomeChronicler is the first pipeline able to run offline or in the cloud to generate personal genomics reports (not limited to disease) from whole genome or whole exome sequencing data.
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Has reproduction · 76
The genome and development-dependent transcriptomes of Pyronema confluens: a window into fungal evolution.
PMID 24068976 · PMC3778014 · PLoS genetics · 2013 · 8 claims · 8 setups
The 50 Mb P. confluens genome with 13,369 predicted protein-coding genes is more characteristic of higher filamentous ascomycetes than of the large, repeat-rich Tuber melanosporum genome, showing that the truffle's expanded genome is not typical of the Pezizales.
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class Random Forest models built from meta-analyzed blood gene expression data can predict infection state (bacterial/viral/none) with high accuracy, correctly classifying 93% of bacterial and 89% of viral samples in the best model.
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HCK and ABAA: A Newly Designed Pipeline to Improve Fungi Metabarcoding Analysis.
PMID 34025601 · PMC8134036 · Frontiers in microbiology · 2021 · 8 claims · 8 setups
ABAA reduces the number of false-positives with all metabarcoding methods tested