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).

• 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

• 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

• EGASP: Introduction.

  PMID 16925831 · PMC1810546 · Genome biology · 2006 · 8 claims · 5 setups

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  Computational gene finding methods, when compared to the GENCODE golden standard annotation, show that the human genome annotation is nearly complete in terms of novel protein-coding loci.

  genome computational manual rt-pcr

• EGASP: the human ENCODE Genome Annotation Assessment Project.

  PMID 16925836 · PMC1810551 · Genome biology · 2006 · 8 claims · 6 setups

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  Best-performing computational gene prediction methods correctly predict at least one transcript for close to 70% of annotated genes in the ENCODE regions.

  encode computational manual rt-pcr

• Automatic annotation of eukaryotic genes, pseudogenes and promoters.

  PMID 16925832 · PMC1810547 · Genome biology · 2006 · 8 claims · 6 setups

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  Fgenesh++ gene prediction pipeline identifies 91% of coding nucleotides with 90% specificity

  encode regions genes chromosome computational pseudogene promoter

• Performance assessment of promoter predictions on ENCODE regions in the EGASP experiment.

  PMID 16925837 · PMC1810552 · Genome biology · 2006 · 6 claims · 3 setups

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  Promoter predictors that combine promoter prediction with gene prediction (N-SCAN, Fprom) achieve better performance than pure ab initio promoter predictors, mainly by reducing the promoter search space and false positives

  genome encode computational tss manual

• GENCODE: producing a reference annotation for ENCODE.

  PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups

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  GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions

  tissues encode rt-pcr comparative automated