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).
-
Full-text index only
Characterisation of p53 status at the gene, chromosomal and protein levels in oesophageal adenocarcinoma.
PMID 14583777 · PMC2394414 · British journal of cancer · 2003 · 8 claims · 4 setups
p53 gene mutations are infrequent in oesophageal adenocarcinoma (9.6%)
-
Full-text index only
Human spermatozoa contain multiple targets for protein S-nitrosylation: an alternative mechanism of the modulation of sperm function by nitric oxide?
PMID 17683036 · PMC2777308 · Proteomics · 2007 · 7 claims · 5 setups
Human sperm proteins undergo S-nitrosylation upon exposure to NO donors, detectable by the biotin switch assay
-
Full-text index only
Genetic association study and meta-analysis of the HTR2C Cys23Ser polymorphism and migraine.
PMID 17901921 · PMC3451673 · The journal of headache and pain · 2007 · 8 claims · 3 setups
The HTR2C Cys23Ser polymorphism is not significantly associated with migraine or migraine with aura in the case-control study
-
Has reproduction · 86
Assessing Bos taurus introgression in the UOA Bos indicus assembly.
PMID 34922445 · PMC8684283 · Genetics, selection, evolution : GSE · 2021 · 7 claims · 6 setups
Aligning divergent (cross-subspecies) sequence data detects substantially more SNVs than aligning to a same-subspecies reference, indicating reference/assembly bias in variant calling.
-
Full-text index only
Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.
PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups
A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies