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).

• InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

  PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups

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  InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM

  saccharomyces homo bank computational yeast tandem

• High frequency of mitochondrial genome instability in human endometrial carcinomas.

  PMID 12915881 · PMC2376924 · British journal of cancer · 2003 · 7 claims · 3 setups

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  56% (28 out of 50) of endometrial carcinoma cases carry one or more somatic mtDNA changes (deletion, point mutation, or mtMSI) compared with matched normal tissue

  endometrial paraffin-embedded long-range pcr polyacrylamide

• Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.

  PMID 16026601 · PMC1637030 · BMC bioinformatics · 2005 · 8 claims · 2 setups

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  DF-SNPs, a novel adaptation of the Decision Forest method, can classify esophageal cancer cases vs. controls based on SNP genotype data with high concordance, sensitivity, and specificity.

  genomic snp high-throughput decision

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.

  saccharomyces bank caenorhabditis homo yeast mass naive

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

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  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Potential biomarkers of human salivary function: a modified proteomic approach.

  PMID 18804197 · PMC2633945 · Archives of oral biology · 2009 · 6 claims · 6 setups

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  Two SDS-PAGE bands, identified by MS-MS as statherin and a truncated (N-terminal 8-aa-missing) cystatin S, are the strongest and most consistent predictors of HAA/LAA group membership and clinical/microbiological outcomes

  resting pooled saliva quantified preparative sds-page western

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Constraints to gene flow increase the risk of genome erosion in the Ngorongoro Crater lion population.

  PMID 40258987 · PMC12012037 · Communications biology · 2025 · 8 claims · 9 setups

  Has reproduction · 68

  200 years of quasi-isolation and the 1962 epizootic caused a two-fold increase in inbreeding and an excess of highly deleterious mutations in Crater lions relative to other Greater Serengeti populations

  african lion crater simulated genome principal admixture

• Multilocus analysis of SNP and metabolic data within a given pathway.

  PMID 16412218 · PMC1382210 · BMC genomics · 2006 · 8 claims · 7 setups

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  The combinatorial partitioning method (CPM) with optimal thresholds can identify SNPs associated with quantitative metabolite levels rather than only categorical traits.

  healthy plasma genomic chi-square combinatorial leave-one-out