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 flexible pocketome engine for structural chemogenomics.

  PMID 19727619 · PMC2975493 · Methods in molecular biology (Clifton, N.J.) · 2009 · 8 claims · 8 setups

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  A comprehensive structural Pocketome combined with ensemble docking enables de novo, structure-based prediction of ligand binding poses and activities for new proteins and new chemical scaffolds.

  pdb bacteriorhodopsin enr asn automated virtual energy-based

• A model-based approach to selection of tag SNPs.

  PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups

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  The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.

  hapmap encode enr112 tag cross-validated entropy tagged

• Evaluation of BRCA1 and BRCA2 mutations and risk-prediction models in a typical Asian country (Malaysia) with a relatively low incidence of breast cancer.

  PMID 18627636 · PMC2575532 · Breast cancer research : BCR · 2008 · 8 claims · 5 setups

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  27 deleterious BRCA1/BRCA2 mutations were detected in 28 breast cancer patients (14 in BRCA1, 13 in BRCA2) among 187 tested

  blood-derived family brca1 direct multiplex boadicea

• SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.

  PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups

  Has reproduction · 83

  SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.

  simulated bayesian systematic

• Exome sequencing in 38 patients with intracranial aneurysms and subarachnoid hemorrhage.

  PMID 32367296 · PMC7419486 · Journal of neurology · 2020 · 8 claims · 6 setups

  Has reproduction · 78

  Sequence variants in PCNT, RNF213 and THSD1 support a role as susceptibility factors for cerebrovascular disease (UIA/aSAH)

  unrelated affected additional 75-patient exome sanger gene

• Pharokka: a fast scalable bacteriophage annotation tool.

  PMID 36453861 · PMC9805569 · Bioinformatics (Oxford, England) · 2023 · 8 claims · 5 setups

  Has reproduction · 84

  Pharokka is a one-line, fast, scalable bacteriophage annotation tool producing standards-compliant outputs, installable via a two-line bioconda command

  enterobacteria staphylococcus crass-like predicted genome large-scale homology

• Analysis of cancer risk and BRCA1 and BRCA2 mutation prevalence in the kConFab familial breast cancer resource.

  PMID 16507150 · PMC1413975 · Breast cancer research : BCR · 2006 · 6 claims · 7 setups

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  kConFab is a collaborative resource providing epidemiological, clinical, and biospecimen data from high-risk familial breast/ovarian cancer families, available to researchers worldwide for ethically approved, peer-reviewed projects.

  germline unaffected index randomly brca1 tyrer-cuzick strp

• Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.

  PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups

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  Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions

  normal genome-wide same omim microarray sage computational

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term