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).

• Full-length 16S rRNA nanopore sequencing enables species resolution of Fusobacterium associated with colorectal cancer.

  PMID 41963777 · PMC13078227 · Gut microbes · 2026 · 8 claims · 7 setups

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  Full-length 16S rRNA ONT sequencing combined with custom demultiplexing (nanoMux) enables robust species-level discrimination within the Fusobacterium genus

  gtdb rrndb zymobiomics host-bacteria ani phylogenetic 16s

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

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  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• Bayesian coestimation of phylogeny and sequence alignment.

  PMID 15804354 · PMC1087833 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  Alignment and phylogenetic inference are mutually dependent, and treating them as separate sequential steps (align then infer tree) is fundamentally flawed and produces biased, overconfident estimates.

  globin same four-sequence bayesian mcmc comparison

• Complete genome sequence of Treponema pallidum ssp. pallidum strain SS14 determined with oligonucleotide arrays.

  PMID 18482458 · PMC2408589 · BMC microbiology · 2008 · 8 claims · 6 setups

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  CGS combined with targeted DDT sequencing and whole genome fingerprinting (WGF) can accurately determine a treponemal genome sequence using only three arrays, at accuracy comparable to or better than finished DDT sequencing

  treponema pcr-amplified ss14 pcr comparative dideoxy-terminator genome

• Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.

  PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups

  Has reproduction · 89

  GRF identifies effective features that form highly connected sub-graphs on the underlying biological network

  synthetic tcga embryonic simulation sub-graph reproducibility

• PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size.

  PMID 16620382 · PMC1459209 · BMC bioinformatics · 2006 · 7 claims · 3 setups

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  PedGenie is a valid, flexible statistical tool for genetic association analysis in pedigrees of arbitrary size and structure using Monte Carlo significance testing

  simulated gaw12 breast monte pedigree-based genetic

• Conserved elements with potential to form polymorphic G-quadruplex structures in the first intron of human genes.

  PMID 18187510 · PMC2275096 · Nucleic acids research · 2008 · 8 claims · 6 setups

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  G-richness downstream of the TSS is strand-biased, concentrated on the nontemplate strand, with a peak at +200 to +300 bp

  refseq chicken random genome-wide quadparser regulatory

• IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.

  PMID 19752006 · PMC2808259 · Molecular & cellular proteomics : MCP · 2010 · 6 claims · 5 setups

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  IDEAL-Q predicts the elution time of peptides unidentified in a given LC-MS/MS run (but identified in others) using a computation-efficient linear regression plus fragmental refining function, avoiding costly whole-dataset pattern recognition

  standard thp-1 replicate lc-ms manual cross-instrument

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate