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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Exhaustive prediction of disease susceptibility to coding base changes in the human genome.
PMID 18793467 · PMC2537574 · BMC bioinformatics · 2008 · 8 claims · 7 setups
Inter-species conservation is the strongest single predictor of disease-associated coding mutations among the factors tested.
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GeneAlign: a coding exon prediction tool based on phylogenetical comparisons.
PMID 16845010 · PMC1538901 · Nucleic acids research · 2006 · 8 claims · 5 setups
GeneAlign predicts coding exons by using signal detection (GeneSplicer/WMM) combined with CORAL, a heuristic linear-time alignment tool, to align candidate signal-flanked regions against annotated exons of a homologous organism's genes
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Cataloging coding sequence variations in human genome databases.
PMID 18974781 · PMC2570488 · PloS one · 2008 · 8 claims · 7 setups
A significant proportion of CVs overlap between HGMD and dbSNP (4.36% of HGMD CVs registered in dbSNP; 8.11% of dbSNP CVs registered in HGMD), warranting caution when interpreting phenotypic relevance of concurrent CVs.
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AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.
PMID 16925833 · PMC1810548 · Genome biology · 2006 · 8 claims · 5 setups
AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP
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JIGSAW, GeneZilla, and GlimmerHMM: puzzling out the features of human genes in the ENCODE regions.
PMID 16925843 · PMC1810558 · Genome biology · 2006 · 8 claims · 4 setups
Adding model states for specific biological features (signal peptides, CpG islands, etc.) to non-comparative GHMM gene finders did little or nothing to enhance predictive accuracy, sometimes reducing it.
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Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts.
PMID 16925842 · PMC1810557 · Genome biology · 2006 · 8 claims · 4 setups
MARS, an extension of the Twinscan algorithm, uses multiple pairwise informant genomes to predict human alternatively spliced transcripts de novo without expressed sequence information.
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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.