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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Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
PMID 16381612 · PMC1360673 · BMC bioinformatics · 2005 · 7 claims · 7 setups
A 32-dimensional triplet structure-sequence feature vector combined with SVM (triplet-SVM) can distinguish real human pre-miRNAs from pseudo pre-miRNA hairpins with ~90% accuracy.
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.
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CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction.
PMID 18096039 · PMC2246271 · Genome biology · 2007 · 8 claims · 5 setups
CONTRAST predicts exact coding region structures for 65% more human genes than the previous state-of-the-art de novo predictor (N-SCAN)
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Benchmarking tools for the alignment of functional noncoding DNA.
PMID 14736341 · PMC344529 · BMC bioinformatics · 2004 · 8 claims · 4 setups
Global alignment tools (Avid, ClustalW, Lagan, Needle, DiAlign-G) typically have higher sensitivity over entire noncoding sequences and within constrained blocks than local tools
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Has reproduction · 71
Systematic and computational identification of Androctonus crassicauda long non-coding RNAs.
PMID 33633149 · PMC7907363 · Scientific reports · 2021 · 7 claims · 7 setups
A custom ECF pipeline identified 13,401 lncRNAs in the A. crassicauda transcriptome (12,642 novel, 759 known).