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).

• FeatureScan: revealing property-dependent similarity of nucleotide sequences.

  PMID 16845077 · PMC1538849 · Nucleic acids research · 2006 · 6 claims · 5 setups

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  FeatureScan transforms nucleotide sequences into numerical signals of physico-chemical/conformational properties and compares them via a convolution/correlation (Fourier transform) method rather than comparing letters

  randomly fully same chimpanzee signal-theoretic featurescan blast

• In vitro identification and in silico utilization of interspecies sequence similarities using GeneChip technology.

  PMID 15871745 · PMC1156887 · BMC genomics · 2005 · 7 claims · 6 setups

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  Only 14±2% of canine transcripts were detected by U133A probe sets versus 49±6% of human transcripts when hybridized to the same chip

  canine tissues hg-u133a probes microarray sequence ortholog

• Mutation of ERBB2 provides a novel alternative mechanism for the ubiquitous activation of RAS-MAPK in ovarian serous low malignant potential tumors.

  PMID 19010816 · PMC6953412 · Molecular cancer research : MCR · 2008 · 8 claims · 8 setups

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  Activating RAS-MAPK pathway mutations are present in >70% of serous LMP tumors versus ~12.5% of serous ovarian carcinomas

  serous same lmp braf-mutant gene hotspot erbb2

• Using ESTs to improve the accuracy of de novo gene prediction.

  PMID 16817966 · PMC1534067 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  TWINSCAN_EST combines EST alignments with TWINSCAN via a trainable 'ESTseq' representation and improves exact gene structure prediction accuracy on the whole C. elegans genome

  elegans genome chromosome novo gene partial

• 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

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Identifying and classifying trait linked polymorphisms in non-reference species by walking coloured de bruijn graphs.

  PMID 23536903 · PMC3607606 · PloS one · 2013 · 8 claims · 9 setups

  Has reproduction · 45

  Bubbleparse detects sequence variants directly from NGS reads without a reference genome, using the coloured de Bruijn graph implementation of Cortex plus a new depth-first bubble-finding module.

  arabidopsis bubbleparse escherichia col-0 reference-free alignment-based sequence