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).

• Computational identification of transcriptional regulatory elements in DNA sequence.

  PMID 16855295 · PMC1524905 · Nucleic acids research · 2006 · 8 claims · 3 setups

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  Weight matrix (PWM/PSSM) models of TF binding sites are grounded in biophysical theory of protein-DNA interactions, with position weights corresponding to log-odds contributions to binding free energy

  saccharomyces generic pwm-based pwm

• 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

• 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

• The lords of the genomes.

  PMID 15461811 · PMC545592 · Genome biology · 2004 · 8 claims · 8 setups

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  Functionally active clusters of transcription-factor binding sites are evolutionarily conserved between Drosophila species, whereas inactive clusters are not, even when sequence identity alone cannot distinguish them

  drosophila cdna-derived saccharomyces acid reporter-gene enhancer chromatin

• 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

• Filling gaps in PPAR-alpha signaling through comparative nutrigenomics analysis.

  PMID 20003344 · PMC2801700 · BMC genomics · 2009 · 7 claims · 8 setups

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  Meta-analysis of 16 microarray datasets across human, mouse, rat and yeast identifies 164 genes (MDEGs) consistently differentially expressed in response to high fat diet or PPAR signaling perturbation.

  liver saccharomyces mdeg independent microarray transcription chromosomal

• Characterizing natural variation using next-generation sequencing technologies.

  PMID 19801172 · PMC3994700 · Trends in genetics : TIG · 2009 · 8 claims · 8 setups

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  Next-generation sequencing enables complete, genome-wide surveys of genetic variation at unprecedented resolution, overcoming limitations of genotyping panels and microarrays.

  pichia individuals saccharomyces individual whole-genome partial comparative

• Have microarrays failed to deliver for developmental biology?

  PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups

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  Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.

  drosophila caenorhabditis developing xenopus cdna genome-wide microarray

• 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