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).

• The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.

  PMID 15608292 · PMC540057 · Nucleic acids research · 2005 · 8 claims · 6 setups

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  Built a library of 1134 HMM models (359 matrix-derived, 718 factor-derived, 57 JASPAR-derived), corresponding to 863 distinct TF names, from TRANSFAC and JASPAR binding site data

  genome drosophila transfac b99 profile sequence case-study

• 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

• Predicting failure rate of PCR in large genomes.

  PMID 18492719 · PMC2441781 · Nucleic acids research · 2008 · 7 claims · 8 setups

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  The number of predicted primer-binding sites in genomic DNA is the most important factor determining PCR failure.

  genomic genome pcr combined large-scale exact-match mismatch-tolerant

• Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.

  PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups

  Has reproduction · 87

  Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites

  training simulated held-out paired-end cubic mlp

• Optimized mixed Markov models for motif identification.

  PMID 16749929 · PMC1534070 · BMC bioinformatics · 2006 · 8 claims · 4 setups

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  OMiMa can incorporate more than NNSplice's pairwise dependencies

  simulated regulatory splice biological motif pairwise

• Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics.

  PMID 18053132 · PMC2254445 · BMC bioinformatics · 2007 · 6 claims · 5 setups

  Full-text index only

  The paired oligo-border kernel (POBK) combined with SVMs predicts peptide adsorption/elution in SAX-SPE and retention time in IP-RP-HPLC more accurately than existing methods.

  peptides peptide sax-spe ip-rp-hplc cross-run

• Applying proteomics to the diagnosis and treatment of ALS and related diseases.

  PMID 19670321 · PMC2836583 · Muscle & nerve · 2009 · 8 claims · 8 setups

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  Protein-based biomarkers for ALS/MND require further verification and large-scale validation/qualification studies, including disease mimics, before clinical use

  csf spinal biofluid muscle 2d-dige antibody luminex

• 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