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).
-
Has reproduction · 67
snpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.
PMID 34900230 · PMC8637247 · F1000Research · 2021 · 8 claims · 4 setups
snpQT is a scalable, stand-alone software pipeline using nextflow and BioContainers for comprehensive, reproducible, interactive QC of human genomic data.
-
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 · 7 claims · 7 setups
Most published adult/other-cohort sepsis gene signatures have limited utility for infant sepsis; only 2 of 7 achieved >80% accuracy in infants
-
Full-text index only
IgA deficiency and the MHC: assessment of relative risk and microheterogeneity within the HLA A1 B8, DR3 (8.1) haplotype.
PMID 19834793 · PMC11292587 · Journal of clinical immunology · 2010 · 7 claims · 5 setups
IgAD prevalence among HLA B8, DR3 homozygotes is only 1.7% (2/117), far lower than the ~13% reported in earlier small studies
-
Has reproduction · 67
Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.
PMID 34680414 · PMC8533457 · Biomedicines · 2021 · 7 claims · 8 setups
A set of 15 TFs was identified as sepsis-specific master regulators of pediatric sepsis, dividing into two non-overlapping clusters.
-
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.