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).

• DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists.

  PMID 17576678 · PMC1933169 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  The DAVID Gene Concept uses a single-linkage method to agglomerate tens of millions of gene/protein identifiers from NCBI, PIR, UniProt and other resources into unified DAVID genes.

  gene example gene single-linkage functional

• L2L: a simple tool for discovering the hidden significance in microarray expression data.

  PMID 16168088 · PMC1242216 · Genome biology · 2005 · 8 claims · 4 setups

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  L2L systematically compares a user's differentially expressed gene list against a database of published differentially expressed gene lists to find statistically significant overlaps and generate hypotheses about shared mechanisms

  mammalian user-supplied diabetic uniprot compiled l2l re-analysis

• DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.

  PMID 17980028 · PMC2186358 · BMC bioinformatics · 2007 · 7 claims · 3 setups

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  The DAVID Gene Concept, a single-linkage algorithm, merges gene clusters from Entrez Gene, UniRef100, and PIR-NREF100 that share protein IDs and species into unified DAVID gene clusters, improving cross-referencing between NCBI and UniProt systems

  members entire usp8 sequence annotation

• Improved mutation tagging with gene identifiers applied to membrane protein stability prediction.

  PMID 19758467 · PMC2745585 · BMC bioinformatics · 2009 · 8 claims · 4 setups

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  MutationTagger achieves 87% F-measure for the mutation retrieval task on a benchmark dataset

  pubmed uniprot five mutation gene sequence

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative