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).

• SVC: structured visualization of evolutionary sequence conservation.

  PMID 15991338 · PMC1160265 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  SVC aligns protein-coding sequences of orthologous gene pairs and maps them back onto their encoding exons/introns to generate a scaffold of conserved gene structure.

  orthologous exonic tblastx blastn sliding-window

• Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.

  PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups

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  An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.

  pepseeker local known swissprot tandem peptide pmf

• Ab initio identification of putative human transcription factor binding sites by comparative genomics.

  PMID 15865625 · PMC1097714 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  An integrated algorithm combining human-mouse genomic comparison, motif overrepresentation, and coregulation filters (GO annotation and microarray coexpression) can identify candidate transcription factor binding sites genome-wide

  human-mouse conserved gene consensus comparative statistical gene

• BreakDancer: an algorithm for high-resolution mapping of genomic structural variation.

  PMID 19668202 · PMC3661775 · Nature methods · 2009 · 8 claims · 8 setups

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  BreakDancer (BreakDancerMax + BreakDancerMini) is a software package that predicts a wide variety of structural variants including deletions, insertions, inversions, and intra/inter-chromosomal translocations from paired-end short-insert sequencing reads.

  reads yoruban cytogenetically predicted simulated paired-end whole-genome

• Sequence similarity network reveals common ancestry of multidomain proteins.

  PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups

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  Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.

  curated complete well-studied sequence alignment domain

• Searching for SNPs with cloud computing.

  PMID 19930550 · PMC3091327 · Genome biology · 2009 · 8 claims · 4 setups

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  Crossbow combines the Bowtie short-read aligner and SOAPsnp SNP caller into a seamless, automatic Hadoop/MapReduce pipeline for whole-genome resequencing analysis

  han local short simulated whole-genome cloud

• 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

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

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  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids

• Non-linear mapping for exploratory data analysis in functional genomics.

  PMID 15661072 · PMC548129 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A relaxation method for non-linear mapping adapts one pair of points per step rather than all points at once, and was originally shown by Chang and Lee to outperform Sammon's mapping in cluster detection effectiveness and computational efficiency.

  leukaemia small srbct brain relaxation self-organising sammon's