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).

• Mapping proteins to disease terminologies: from UniProt to MeSH.

  PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups

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  Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms

  randomly swiss-prot uniprotkb mesh manual exact partial

• SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry.

  PMID 19036792 · PMC2686442 · Nucleic acids research · 2009 · 8 claims · 7 setups

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  SysPIMP is a web-based platform integrating disease mutation databases with X!Tandem and BLAST to identify disease-related mutated proteins from MS results

  omim pmd swissprot msipi database sequence tandem

• Commonality of functional annotation: a method for prioritization of candidate genes from genome-wide linkage studies.

  PMID 18263617 · PMC2275105 · Nucleic acids research · 2008 · 8 claims · 7 setups

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  Genes correlated with a common complex trait are more likely to share GO functional annotations than genes not correlated with that trait

  genes candidate simulated alzheimer's genome-wide term null-hypothesis

• Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

  PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups

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  A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments

  seed ad-related retrieved combined protein-protein network-based pubmed

• Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.

  PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups

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  Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions

  normal genome-wide same omim microarray sage computational

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Upgrades to StellaBase facilitate medical and genetic studies on the starlet sea anemone, Nematostella vectensis.

  PMID 17982171 · PMC2238866 · Nucleic acids research · 2008 · 6 claims · 5 setups

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  StellaBase Disease houses homology data for 155,904 invertebrate isoforms of human disease genes across four model systems, including 14,874 predicted Nematostella genes

  nematostella blastp est snp

• The role of positive selection in determining the molecular cause of species differences in disease.

  PMID 18837980 · PMC2576240 · BMC evolutionary biology · 2008 · 8 claims · 6 setups

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  Genes predicted to be under positive selection during human evolution are implicated in diseases (epithelial cancers, schizophrenia, autoimmune diseases, Alzheimer's disease) that differ in prevalence and symptomatology between humans and other mammals

  orthologous omim meta-database panther comparative disease protein-protein

• Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

  PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups

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  Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes

  pubmed genes same randomly geneseeker evoc disease