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).

• 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

• 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

• 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

• Using several pair-wise informant sequences for de novo prediction of alternatively spliced transcripts.

  PMID 16925842 · PMC1810557 · Genome biology · 2006 · 8 claims · 4 setups

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  MARS, an extension of the Twinscan algorithm, uses multiple pairwise informant genomes to predict human alternatively spliced transcripts de novo without expressed sequence information.

  genome tissues novo pairwise rt-pcr

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq