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).

• Ratiocinative screen of eukaryotic integral membrane protein expression and solubilization for structure determination.

  PMID 19031011 · PMC2756966 · Journal of structural and functional genomics · 2009 · 8 claims · 6 setups

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  A discovery-oriented pipeline using standardized single-condition methods (one expression system, one detergent, one SEC buffer) can efficiently triage large numbers of eukaryotic IMP targets to identify well-behaved candidates for crystallization

  cerevisiae ddm-solubilized sec-included tmhmm ligase-independent small-scale

• Computational verification of protein-protein interactions by orthologous co-expression.

  PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.

  cerevisiae orthologs cdc28 yeast co-expression ortholog orthologous

• Similarities and differences in genome-wide expression data of six organisms.

  PMID 14737187 · PMC300882 · PLoS biology · 2004 · 8 claims · 8 setups

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  Coexpression of functionally related genes is frequently conserved across evolutionarily distant organisms

  saccharomyces caenorhabditis escherichia arabidopsis genome-wide large-scale developmental

• Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.

  PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups

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  Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions

  saccharomyces correlated chip-chip gene

• Environmental genome project: a positive sequence of events.

  PMID 11171540 · PMC1242069 · Environmental health perspectives · 2001 · 8 claims · 5 setups

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  Exposure to alkylating agents evokes at least threefold expression changes in about one-third of the yeast genome (~2,000 genes), far beyond DNA repair genes alone

  yeast genes population microarray time-course resequencing

• New center a stroke of gene-ius.

  PMID 11171539 · PMC1242068 · Environmental health perspectives · 2001 · 8 claims · 4 setups

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  Exposure to alkylating agents evokes at least three-fold expression changes in about one-third of the yeast genome (~2,000 genes), far beyond DNA repair genes alone

  yeast genomic microarray northern custom

• Vector algebra in the analysis of genome-wide expression data.

  PMID 11897023 · PMC88809 · Genome biology · 2002 · 8 claims · 6 setups

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  The angle θ between expression (experiment) vectors is the geometric counterpart of the Pearson correlation coefficient r, providing a rigorous measure of similarity between profiles.

  saccharomyces microarray

• Transcription network construction for large-scale microarray datasets using a high-performance computing approach.

  PMID 18366618 · PMC2386070 · BMC genomics · 2008 · 8 claims · 7 setups

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  RMT removes the random noise component of the gene expression correlation matrix by testing its eigenvalue statistics against a null hypothesis derived from a truly random correlation matrix

  yeast liver eight-node microarray k-means hybrid

• Comparing protein abundance and mRNA expression levels on a genomic scale.

  PMID 12952525 · PMC193646 · Genome biology · 2003 · 8 claims · 8 setups

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  Correlations between mRNA expression and protein abundance are generally poor or limited across most studies reviewed, including in yeast and human cancers

  yeast laser-dissected serum myeloid two-dimensional seldi-tof isotope-coded

• Visualization-based discovery and analysis of genomic aberrations in microarray data.

  PMID 15953389 · PMC1181623 · BMC bioinformatics · 2005 · 8 claims · 7 setups

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  ChARMView integrates dynamic visualization with automated statistical analysis (EM-based breakpoint detection, one-sample sign test, permutation mean test) to discover chromosomal aberrations from array CGH and gene expression data

  saccharomyces breast yeast array gene

• VIRGO: computational prediction of gene functions.

  PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  VIRGO constructs a functional linkage network (FLN) from gene expression and molecular interaction data, labels genes with GO annotations, and propagates these labels to predict functions of unlabelled genes

  cerevisiae sapiens leave-one-out gene protein-protein

• fREDUCE: detection of degenerate regulatory elements using correlation with expression.

  PMID 17941998 · PMC2174516 · BMC bioinformatics · 2007 · 6 claims · 5 setups

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  fREDUCE is a computational method that detects weak or degenerate binding motifs from gene expression or ChIP-chip data by exhaustive search of degenerate IUPAC oligonucleotides

  saccharomyces cerevisiae hepatocytes chip-chip motif-finding gene

• Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.

  PMID 19638617 · PMC2889494 · Science signaling · 2009 · 8 claims · 6 setups

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  Pathway reconstruction can be modeled as a prize-collecting Steiner tree problem, balancing penalties for excluding terminal nodes against costs for including edges, controlled by a parameter β.

  saccharomyces phosphoproteomic expression curated

• Whither genomics?

  PMID 11104516 · PMC138820 · Genome biology · 2000 · 8 claims · 8 setups

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  Genomics is both a science (understanding genome structure/evolution) and a tool (learning gene function) that collects comprehensive data on all genes, in contrast to genetics which studies a few genes controlling a phenotype

  mammalian budding yeast general expression genome-wide synthetic

• Microbial genomics: from sequence to function.

  PMID 10998380 · PMC2627950 · Emerging infectious diseases · 2000 · 8 claims · 4 setups

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  Whole-genome shotgun sequencing (sequencing and assembly of random genome fragments), first demonstrated with Haemophilus influenzae in 1995, is now the method of choice for sequencing most genomes, including the human genome.

  yeast bacteria microbial high-throughput microarray ribosomal

• Differential Hsp90-dependent gene expression is strain-specific and common among yeast strains.

  PMID 37138775 · PMC10149407 · iScience · 2023 · 8 claims · 7 setups

  Has reproduction · 100

  Hsp90-dependent gene expression varies among different yeast strains

  diverse same yeast genomes rna-seq v-src growth

• The integrated world of functional genomics.

  PMID 12537543 · PMC151279 · Genome biology · 2003 · 8 claims · 8 setups

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  Integrating chromatin immunoprecipitation (promoter-binding) data with expression data reveals the yeast cell-cycle transcriptional regulatory network, including network motifs such as autoregulation, multi-component loops, and feedforward loops.

  cerevisiae sequenced elegans drosophila chromatin integration comparative

• Microarray analysis: genome-scale hypothesis scanning.

  PMID 14551912 · PMC212694 · PLoS biology · 2003 · 8 claims · 5 setups

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  Microarrays can be used to both test and generate hypotheses, not merely to fish for candidate genes.

  drosophila yeast diffuse breast microarray integrated gene

• Contribution of the C-terminal region within the catalytic core domain of HIV-1 integrase to yeast lethality, chromatin binding and viral replication.

  PMID 19014595 · PMC2615443 · Retrovirology · 2008 · 7 claims · 8 setups

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  IN mutants V165A, A179P and KR186,7AA in the C-terminal region of the catalytic core domain fail to induce the lethal phenotype in HP16 yeast

  saccharomyces hp16 293t cos-7 yeast immunoprecipitation chromatin

• Identification of mitochondrial disease genes through integrative analysis of multiple datasets.

  PMID 18930150 · PMC2774125 · Methods (San Diego, Calif.) · 2008 · 8 claims · 8 setups

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  Data integration of multiple functional genomics datasets effectively predicts mitochondrial gene function and prioritizes candidate mitochondrial disease genes.

  saccharomyces higher yeast mitochondria genome-wide rnai gene