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 · 65
Wireless sensor network design with reliable and long network lifetime.
PMID 41981015 · PMC13083951 · Scientific reports · 2026 · 6 claims · 3 setups
All four fundamental WSN design problems and network reliability can be addressed together in an integrated set of mixed-integer mathematical models.
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Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies.
PMID 17610740 · PMC1925094 · BMC genomics · 2007 · 8 claims · 5 setups
SNP-MaP can be effectively applied to the Affymetrix 500K GeneChip, providing a cost-effective, reliable and valid initial genomewide screen
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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
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Has reproduction · 97
CRISPRbuilder-TB: "CRISPR-builder for tuberculosis". Exhaustive reconstruction of the CRISPR locus in mycobacterium tuberculosis complex using SRA.
PMID 33667225 · PMC7968741 · PLoS computational biology · 2021 · 8 claims · 7 setups
CRISPRbuilder-TB is a new pipeline that reconstructs MTC CRISPR-Cas loci directly from short SRA reads without requiring genome assembly
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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.