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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ORFer--retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files.
PMID 12493080 · PMC139979 · BMC bioinformatics · 2002 · 6 claims · 6 setups
ORFer retrieves protein and nucleic acid sequences and annotations from NCBI GenBank using the XML sequence format
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Cystic fibrosis in Korean children:a case report identified by a quantitative pilocarpine iontophoresis sweat test and genetic analysis.
PMID 15716623 · PMC2808565 · Journal of Korean medical science · 2005 · 8 claims · 8 setups
CF should be suspected in Korean/Asian children with chronic respiratory symptoms despite its rarity in Asian populations
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Has reproduction · 78
Exome sequencing in 38 patients with intracranial aneurysms and subarachnoid hemorrhage.
PMID 32367296 · PMC7419486 · Journal of neurology · 2020 · 8 claims · 6 setups
Sequence variants in PCNT, RNF213 and THSD1 support a role as susceptibility factors for cerebrovascular disease (UIA/aSAH)
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SW-ARRAY: a dynamic programming solution for the identification of copy-number changes in genomic DNA using array comparative genome hybridization data.
PMID 15961730 · PMC1151590 · Nucleic acids research · 2005 · 7 claims · 5 setups
SW-ARRAY, an adaptation of the Smith-Waterman dynamic programming algorithm, provides a sensitive and robust method for identifying copy-number changes in array CGH data
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Has reproduction · 86
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.
PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups
A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.
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A model-based approach to selection of tag SNPs.
PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups
The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.