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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Eight previously unidentified mutations found in the OA1 ocular albinism gene.
PMID 16646960 · PMC1468396 · BMC medical genetics · 2006 · 7 claims · 5 setups
Sequencing of the nine OA1 exons in 72 individuals identified ten different mutations across seven unrelated families and three sporadic cases.
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Sequence changes in predicted promoter elements of STK11/LKB1 are unlikely to contribute to Peutz-Jeghers syndrome.
PMID 15774015 · PMC1084245 · BMC genomics · 2005 · 6 claims · 4 setups
Integrated phylogenetic foot printing and transcription factor binding site (TFBS) prediction identified a consensus putative STK11/LKB1 promoter region between nucleotides -1090 and -1472
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Ethnically diverse causes of Walker-Warburg syndrome (WWS): FCMD mutations are a more common cause of WWS outside of the Middle East.
PMID 18752264 · PMC2577713 · Human mutation · 2008 · 8 claims · 4 setups
40% (16/40) of WWS families in this diverse cohort received a molecular diagnosis with mutations in POMT1, POMT2, FKRP or FCMD
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No germline mutations in supposed tumour suppressor genes SAFB1 and SAFB2 in familial breast cancer with linkage to 19p.
PMID 19077293 · PMC2635354 · BMC medical genetics · 2008 · 8 claims · 5 setups
SAFB1 and SAFB2 had previously been proposed as tumour suppressor genes in breast cancer based on functional properties (ERα repression) and loss of heterozygosity in tumours
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IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
PMID 19752006 · PMC2808259 · Molecular & cellular proteomics : MCP · 2010 · 6 claims · 5 setups
IDEAL-Q predicts the elution time of peptides unidentified in a given LC-MS/MS run (but identified in others) using a computation-efficient linear regression plus fragmental refining function, avoiding costly whole-dataset pattern recognition