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

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

  PMID 29051481 · PMC5715040 · Nature communications · 2017 · 8 claims · 5 setups

  Has reproduction · 79

  Gene expression can, to a large extent, predict genome-wide DNase I hypersensitivity (chromatin accessibility)

  distinct same training encode dnase-seq exon bird

• Predicting enhancers in mammalian genomes using supervised hidden Markov models.

  PMID 30917778 · PMC6437899 · BMC bioinformatics · 2019 · 8 claims · 8 setups

  Has reproduction · 70

  eHMM predicts enhancers with high precision and recall comparable to state-of-the-art methods and consistently outperforms them in accuracy and resolution

  esc atac-seq chip-seq cage

• Identification of disease causing loci using an array-based genotyping approach on pooled DNA.

  PMID 16197552 · PMC1262713 · BMC genomics · 2005 · 8 claims · 5 setups

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  Pooling genomic DNA and genotyping on SNP microarrays accurately predicts allelic frequencies relative to individual genotyping

  genomic pools training siddt individual pooled k-correction

• 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

• A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

  PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups

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  A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types

  maqc hepatocytes japanese illeum microarray dasl sequence