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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Rapid detection and curation of conserved DNA via enhanced-BLAT and EvoPrinterHD analysis.
PMID 18307801 · PMC2268679 · BMC genomics · 2008 · 8 claims · 8 setups
eBLAT detects up to 75% more conserved bases than original BLAT alignments, with the largest gains between evolutionarily distant orthologs
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ASPIC: a web resource for alternative splicing prediction and transcript isoforms characterization.
PMID 16845044 · PMC1538898 · Nucleic acids research · 2006 · 8 claims · 2 setups
The ASPIC algorithm, using an optimization procedure that minimizes splice site predictions and transcript isoforms from multiple EST-genome alignments, outperforms other similar AS-prediction tools in sensitivity and selectivity
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High-throughput discovery of rare human nucleotide polymorphisms by Ecotilling.
PMID 16893952 · PMC1540726 · Nucleic acids research · 2006 · 7 claims · 6 setups
Ecotilling can be adapted to accurately discover and genotype human SNPs, with error rates low relative to resequencing
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.
PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups
A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.
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Using multiple alignments to improve seeded local alignment algorithms.
PMID 16100379 · PMC1185574 · Nucleic acids research · 2005 · 8 claims · 2 setups
Using information implicit in a multiple alignment to dynamically build a spaced-seed index weighted toward promising regions increases sensitivity of local alignment search compared to indexing a sequence alone