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).

• Application of machine learning in SNP discovery.

  PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  PolyBayes produces high false-positive SNP predictions even with stringent parameters

  diverse soybean candidate same sts polybayes polyphred

• Exhaustive prediction of disease susceptibility to coding base changes in the human genome.

  PMID 18793467 · PMC2537574 · BMC bioinformatics · 2008 · 8 claims · 7 setups

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  Inter-species conservation is the strongest single predictor of disease-associated coding mutations among the factors tested.

  hgmd refseq aligned svm svm reciprocal inter-species

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

• 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

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  AUGUSTUS predicted significantly more genes correctly than any other ab initio program in EGASP

  genome human-mouse genes initio comparative extrinsic

• 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

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  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.

  encode genes invertebrate initio comparative training

• Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.

  PMID 16469098 · PMC1409804 · BMC bioinformatics · 2006 · 7 claims · 3 setups

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  AUGUSTUS+ extends the AUGUSTUS GHMM by combining intrinsic sequence information with extrinsic hints via an extended emission alphabet, so the GHMM jointly models the DNA sequence, gene structure, and hint collection.

  chromosome genomic training ghmm-based sequence parameter