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).

• Sequencing of 16S rRNA gene: a rapid tool for identification of Bacillus anthracis.

  PMID 12396926 · PMC2730316 · Emerging infectious diseases · 2002 · 7 claims · 4 setups

  Full-text index only

  All 86 B. anthracis isolates tested share an identical 16S rRNA gene sequence, designated 16S type 6

  bacillus clinical additional 16s nested comparative

• A network model for the correlation between epistasis and genomic complexity.

  PMID 18648534 · PMC2481279 · PloS one · 2008 · 8 claims · 5 setups

  Full-text index only

  In small networks with multifunctional nodes, lack of redundancy, and absence of alternative pathways, epistasis is antagonistic on average.

  two-pathway network

• Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.

  PMID 36088548 · PMC9487593 · Briefings in bioinformatics · 2022 · 8 claims · 6 setups

  Has reproduction · 94

  Well-established, hierarchically organized pathway annotation systems (e.g. GO, Reactome, KEGG) yield the best overall enrichment performance despite covering much of the human genome only in general terms.

  user-submitted string pubmed protein-coding gene hierarchical text-mining

• A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.

  PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups

  Has reproduction · 92

  The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network

  case-control gene-gene fictional familial snp-phenotype gene-level network-guided

• Integrative network modeling reveals mechanisms underlying T cell exhaustion.

  PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 6 setups

  Has reproduction · 59

  An integrative, literature-curated and data-driven gene regulatory network underlies CD8+ T cell exhaustion and accurately captures expression states in chronic infection and tumor settings.

  cd8+ tce activated manual gene principal

• Niche Modification by Sulfate-Reducing Bacteria Drives Microbial Community Assembly in Anoxic Marine Sediments.

  PMID 36988509 · PMC10128000 · mBio · 2023 · 7 claims · 7 setups

  Has reproduction · 100

  SRB modify niches (e.g., pH) to affect species coexistence during organic matter degradation

  coastal marine marinilabiliales srb-inhibited 16s molecular physicochemical

• Evolutionary cores of domain co-occurrence networks.

  PMID 15788102 · PMC1079808 · BMC evolutionary biology · 2005 · 8 claims · 4 setups

  Full-text index only

  The innermost (globally central) cores of protein domain co-occurrence networks gradually grow in size with increasing evolutionary/developmental complexity of the organism.

  cerevisiae domain weighted comparative

• Identification of the proliferation/differentiation switch in the cellular network of multicellular organisms.

  PMID 17166053 · PMC1664705 · PLoS computational biology · 2006 · 8 claims · 8 setups

  Full-text index only

  Integrating interactome and transcriptome data reveals a pair of transcriptionally anticorrelated network modules (P and D) each comprising hundreds of genes, present across individuals and species.

  postmortem genes gene proteins microarray protein-protein hierarchical

• Wiggle-predicting functionally flexible regions from primary sequence.

  PMID 16839194 · PMC1500818 · PLoS computational biology · 2006 · 7 claims · 6 setups

  Full-text index only

  A GNM-derived, correlation-weighted 'FF score' can objectively define functionally flexible regions (FFRs) that match experimentally confirmed flexible/functional regions (hinges, recognition loops, catalytic loops).

  hiv bovine calmodulin nonredundant gaussian gnm support

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

  Full-text index only

  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• NetworKIN: a resource for exploring cellular phosphorylation networks.

  PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups

  Full-text index only

  NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.

  phosphoproteome kinome interactome 53bp1 consensus blastp probabilistic

• Predictive genomics of cardioembolic stroke.

  PMID 19064790 · PMC2752697 · Stroke · 2009 · 8 claims · 4 setups

  Full-text index only

  A Bayesian network multivariate model achieves 86% predictive accuracy (AUC) for cardioembolic stroke on fitted values

  blood-derived gasros same custom bayesian roc

• Identification and analysis of co-occurrence networks with NetCutter.

  PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups

  Full-text index only

  Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.

  publime bipartite randomized co-occurrence null-model signal-to-noise

• Adaptations to climate in candidate genes for common metabolic disorders.

  PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups

  Full-text index only

  A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.

  individuals population genic compiled snp spearman bayesian

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

  Full-text index only

  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Antigenic diversity, transmission mechanisms, and the evolution of pathogens.

  PMID 19847288 · PMC2759524 · PLoS computational biology · 2009 · 8 claims · 3 setups

  Full-text index only

  Three distinct infection types (A, B, C) emerge as maxima in the pathogen fitness landscape, each with characteristic within-host dynamics, contact network structure, and transmission mode

  generic simulated hiv-1 stochastic dynamic regression

• Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

  PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups

  Has reproduction · 100

  Stochastic exploration of the gene-regulatory network structure confers enhanced adaptive capacity, enabling GBM cells to converge to new target phenotypes in novel environments.

  gbm glioma gbm-focused glioma-related transcriptomic differential gene-regulatory

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

  Full-text index only

  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness

• Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.

  PMID 39890881 · PMC11785715 · Scientific reports · 2025 · 8 claims · 5 setups

  Has reproduction · 75

  sJSD, NIG, and TNFE methods can detect critical states/tipping points before disease deterioration using only a single sample

  simulated adipose gastrocnemius dnb numerical microarray protein-protein

• SGCP: a spectral self-learning method for clustering genes in co-expression networks.

  PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups

  Has reproduction · 51

  SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.

  real microarray rna-seq same gene dna-microarray rna-sequencing