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).

• Non-EST-based prediction of novel alternatively spliced cassette exons with cell signaling function in Caenorhabditis elegans and human.

  PMID 17452356 · PMC1904267 · Nucleic acids research · 2007 · 8 claims · 7 setups

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  PASE (Prediction of Alternative Signaling Exons) is a computational algorithm combining Markov splice-site models, a Bayesian classifier, species conservation, and Scansite motif scoring to identify novel alternative cassette exons involved in cell signaling.

  elegans pooled pcr known semi-nested cloning initio

• Imputation-based analysis of association studies: candidate regions and quantitative traits.

  PMID 17676998 · PMC1934390 · PLoS genetics · 2007 · 8 claims · 2 setups

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  Imputation-based Bayesian regression increases power to detect association compared with standard single-SNP tests, even when the causal variant is directly typed

  study phenotyped genotype bayesian

• Hit selection with false discovery rate control in genome-scale RNAi screens.

  PMID 18628291 · PMC2504311 · Nucleic acids research · 2008 · 8 claims · 3 setups

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  A Bayesian FDR-controlling methodology for hit selection in genome-scale RNAi HTS is proposed, using a direct posterior probability approach analogous to Newton et al.

  hela hepatitis simulated genome-scale simulation

• Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

  PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups

  Has reproduction · 94

  Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies

  simulated same hiv-1 simulation-based bayesian maximum-likelihood

• Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.

  PMID 38491422 · PMC10943865 · Genetics, selection, evolution : GSE · 2024 · 8 claims · 5 setups

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  The host genome's influence on the functional rumen microbiome contributes to temporal variation in average daily gain (ADG1-ADG4) across finishing months in beef cattle.

  rumen blood beef metagenome snp longitudinal

• Evolutionary history of the UCP gene family: gene duplication and selection.

  PMID 18980678 · PMC2584656 · BMC evolutionary biology · 2008 · 8 claims · 8 setups

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  The UCP gene family arose through two ancestral gene duplications early in vertebrate evolution, producing the UCP1, UCP2 and UCP3 lineages.

  vertebrate ucp human-mouse ucp1 sequence phylogenetic gene

• Evidence for positive selection in putative virulence factors within the Paracoccidioides brasiliensis species complex.

  PMID 18820744 · PMC2553485 · PLoS neglected tropical diseases · 2008 · 8 claims · 8 setups

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  Positive selection has played an important role in the molecular evolution of putative virulence factors of P. brasiliensis

  brasiliensis gp43 ratio codon-based mutational

• PhylomeDB: a database for genome-wide collections of gene phylogenies.

  PMID 17962297 · PMC2238872 · Nucleic acids research · 2008 · 7 claims · 6 setups

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  PhylomeDB is a publicly accessible database storing complete, genome-wide collections of gene phylogenies (phylomes).

  seed homologous trimmed homology sequence neighbor

• Variation in the Neisseria lactamica porin, and its relationship to meningococcal PorB.

  PMID 18451061 · PMC2885628 · Microbiology (Reading, England) · 2008 · 8 claims · 6 setups

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  N. lactamica por is less diverse than meningococcal porB2 and porB3

  lactamica unique pcr distance-based population

• Discovery and hypothesis generation through bioinformatics.

  PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups

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  Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data

  genome chemokine gene-expression proteins genome-wide phylogenetic microarray