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).
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Paired-end mapping reveals extensive structural variation in the human genome.
PMID 17901297 · PMC2674581 · Science (New York, N.Y.) · 2007 · 8 claims · 8 setups
Paired-end mapping (PEM) combining 3-kb fragment paired-end capture, massive 454 sequencing, and computational mapping detects SVs ~3 kb or larger with an average breakpoint resolution of 644 bp
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An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.
PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups
A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.
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BreakDancer: an algorithm for high-resolution mapping of genomic structural variation.
PMID 19668202 · PMC3661775 · Nature methods · 2009 · 8 claims · 8 setups
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.
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Challenges and standards in integrating surveys of structural variation.
PMID 17597783 · PMC2698291 · Nature genetics · 2007 · 7 claims · 5 setups
There is no standard approach to collecting, assessing the quality of, or describing structural variants, risking the entire genome eventually being labeled 'structurally variant' based on uncurated nondisease-sample data.
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Variation resources at UC Santa Cruz.
PMID 17151077 · PMC1781230 · Nucleic acids research · 2007 · 8 claims · 8 setups
The UCSC Genome Browser variation resources integrate polymorphism data from public collections (dbSNP, HapMap, Affymetrix, Perlegen, SeattleSNPs) into a common format with additional annotations and genomic context.