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).
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Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.
PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups
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.
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Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
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.
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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
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
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Systems biology: where it's at in 2005.
PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups
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
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Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.
PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups
Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.
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Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.
PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups
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
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Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.
PMID 19638617 · PMC2889494 · Science signaling · 2009 · 8 claims · 6 setups
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.
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From single cells to whole organisms.
PMID 16420683 · PMC1414103 · Genome biology · 2005 · 8 claims · 8 setups
The genetic-interaction map in S. cerevisiae is roughly four times as complex as the protein-protein interaction map, and genetic interactions do not overlap with physical interactions but instead predict functional neighborhoods
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Evolutionary origins of human apoptosis and genome-stability gene networks.
PMID 18832373 · PMC2577361 · Nucleic acids research · 2008 · 8 claims · 8 setups
The entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2.
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From genomes to systems.
PMID 15535877 · PMC545775 · Genome biology · 2004 · 8 claims · 8 setups
Biological networks (protein-gene interactions in the genome, protein-protein interactions in the proteome, biochemical reactions in the metabolome) are scale-free rather than random
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The post-genomic era for a select few.
PMID 14759254 · PMC395745 · Genome biology · 2004 · 8 claims · 8 setups
The Exofish comparative-genomics tool identifies protein-coding DNA segments by comparing two genome sequences and was used to compare pufferfish (Takifugu, Tetraodon) genomes with mammalian genomes, improving annotation of the human and mouse genomes.
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Whither genomics?
PMID 11104516 · PMC138820 · Genome biology · 2000 · 8 claims · 8 setups
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
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Genetical genomics: spotlight on QTL hotspots.
PMID 18949031 · PMC2563687 · PLoS genetics · 2008 · 8 claims · 4 setups
Distant eQTL hotspots are rare and difficult to reliably verify across published genetical genomics studies
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
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.
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Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.
PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups
GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.