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).

• Detecting tipping points of complex diseases by network information entropy.

  PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups

  Has reproduction · 78

  NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data

  real stringdb individual genes network background sample-specific

• Identification of gene interactions associated with disease from gene expression data using synergy networks.

  PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.

  prostate simulated microarray simulated permutation

• The functional importance of disease-associated mutation.

  PMID 12220483 · PMC128831 · BMC bioinformatics · 2002 · 6 claims · 1 setups

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  Disease-associated mutations occur in conserved regions of genes and can be used to identify likely disease-causing mutations

  disease-associated sequence

• Aberrant 5' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization.

  PMID 17576681 · PMC1934990 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  Cryptic 5'ss are best predicted by computational algorithms that accommodate nucleotide dependencies (e.g., Markov model, maximum entropy, maximum dependence decomposition) rather than by weight-matrix models

  disease mammalian compiled literature minigene computational

• Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

  PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

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  None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

  ensembl swissprot same structural foldx side

• Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

  PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups

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  Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.

  dbsnp gpcr transmembrane sequence six-frame sift logistic

• In silico segmentations of lentivirus envelope sequences.

  PMID 17376229 · PMC1847453 · BMC bioinformatics · 2007 · 8 claims · 8 setups

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  C and V regions of lentivirus SU sequences have distinct statistical (oligonucleotide/amino-acid) compositions that HMMs can learn and use to delimit them.

  eiav hiv hmm-based hmm artificial