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).

• A global definition of expression context is conserved between orthologs, but does not correlate with sequence conservation.

  PMID 16423292 · PMC1382217 · BMC genomics · 2006 · 7 claims · 6 setups

  Full-text index only

  Expression context is largely conserved between orthologs across four eukaryote species.

  elegans pairwise orthologs cerevisiae microarray ortholog functional

• oPOSSUM-3: advanced analysis of regulatory motif over-representation across genes or ChIP-Seq datasets.

  PMID 22973536 · PMC3429929 · G3 (Bethesda, Md.) · 2012 · 8 claims · 6 setups

  Has reproduction · 49

  oPOSSUM-3 is a web-accessible system that identifies over-represented TFBS and TFBS families in DNA sequences of co-expressed genes or in sequences from high-throughput methods such as ChIP-Seq.

  hg19 large-scale gene-based jaspar tfbs sequence-based anchored

• Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.

  PMID 33729159 · PMC8012062 · eLife · 2021 · 8 claims · 7 setups

  Has reproduction · 94

  The SCLC regulatory network is multistable and its steady states map onto four experimentally observed phenotypes (ASCL1high/NEUROD1low, ASCL1low/NEUROD1high, ASCL1high/NEUROD1high, ASCL1low/NEUROD1low)

  sclc randomized ccle gse73160 boolean racipe network

• RNAmountAlign: Efficient software for local, global, semiglobal pairwise and multiple RNA sequence/structure alignment.

  PMID 31978147 · PMC6980424 · PloS one · 2020 · 7 claims · 6 setups

  Has reproduction · 71

  RNAmountAlign performs pairwise local, global, and semiglobal (query search) alignment and progressive multiple alignment (global and local) using incremental ensemble mountain height, running in O(n^3) time and O(n^2) space for two sequences of length n

  sequences sets target single secondary pairwise sequence

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

  Full-text index only

  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness