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).

• 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

• 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

• Accurate chromatin marks peak calling with Omnipeak.

  PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups

  Has reproduction · 77

  Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)

  gm12878 roadmap abf immgen chip-seq ultra-low-input atac-seq

• A comparison across non-model animals suggests an optimal sequencing depth for de novo transcriptome assembly.

  PMID 23496952 · PMC3655071 · BMC genomics · 2013 · 8 claims · 8 setups

  Has reproduction · 69

  Representative de novo transcriptome assemblies are generated with as few as ~20 million reads for single-tissue samples and ~30 million reads for whole animals at the mRNA-coverage level.

  mus chuniphyes hormiphora pleuromamma rna-seq homology

• Genome-wide prediction of DNase I hypersensitivity using gene expression.

  PMID 29051481 · PMC5715040 · Nature communications · 2017 · 6 claims · 3 setups

  Has reproduction · 79

  Gene expression substantially predicts genome-wide DNase I hypersensitivity (DH), demonstrating transcriptome-based prediction as a feasible approach for regulome mapping

  distinct encode dnase-seq exon computational

• miRGen: a database for the study of animal microRNA genomic organization and function.

  PMID 17108354 · PMC1669779 · Nucleic acids research · 2007 · 8 claims · 6 setups

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  miRGen is an integrated database combining Genomics, Targets, and Clusters interfaces to study miRNA genomic organization and function across 11 animal genomes

  animal genome mouse-human mirna genomic mirna cross-species