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).

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene

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

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

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  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

• 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

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design

  saccharomyces sapiens ihsln genes database phylogenetic gene

• 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

• Organization of physical interactomes as uncovered by network schemas.

  PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions

  cerevisiae sapiens uncharacterized network cross-species functional

• Shaken not stirred: a global research cocktail served in Hinxton.

  PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups

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  Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process

  budding caenorhabditis drosophila escherichia two-color double chip-chip

• Evolutionary cores of domain co-occurrence networks.

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

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  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

• 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

• 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

• The cohesin complex: sequence homologies, interaction networks and shared motifs.

  PMID 11276426 · PMC30708 · Genome biology · 2001 · 8 claims · 8 setups

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  Mouse Mmip1 and Smc3 (SMCD) share 99% sequence identity and are products of the same gene

  smc1 smc3 mmip1 smc psi-blast phylogenetic sequence

• 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

• Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.

  PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.

  yeast yeast-related interaction random dictionary-based manual graph

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• 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

• Systems biology: where it's at in 2005.

  PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups

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  High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges

  saccharomyces drosophila environmental literature systematic genome-wide

• Evolutionary origins of human apoptosis and genome-stability gene networks.

  PMID 18832373 · PMC2577361 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  The entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2.

  apoptosis fully same orthologous protein-protein comparative orthology

• A genome-wide deletion mutant screen identifies pathways affected by nickel sulfate in Saccharomyces cerevisiae.

  PMID 19917080 · PMC2784802 · BMC genomics · 2009 · 8 claims · 4 setups

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  Genome-wide deletion screening identified 149 genes whose deletion causes NiSO4 sensitivity and 119 genes whose deletion confers NiSO4 resistance.

  cerevisiae lists yeast genome-wide functional protein-protein

• Minimal metabolic pathway structure is consistent with associated biomolecular interactions.

  PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups

  Has reproduction · 30

  MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.

  simplified genome-scale cerevisiae coli minspan spearman comparative

• Information-based methods for predicting gene function from systematic gene knock-downs.

  PMID 18959798 · PMC2596148 · BMC bioinformatics · 2008 · 8 claims · 4 setups

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  Information-based metrics, which incorporate a phenotype's genomic frequency, outperform non-information-based metrics for detecting gene-gene functional similarity from phenotypic knock-down profiles.

  caenorhabditis elegans saccharomyces interference computational genome-wide