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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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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From single cells to whole organisms.
PMID 16420683 · PMC1414103 · Genome biology · 2005 · 8 claims · 8 setups
The genetic-interaction map in S. cerevisiae is roughly four times as complex as the protein-protein interaction map, and genetic interactions do not overlap with physical interactions but instead predict functional neighborhoods
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Has reproduction · 53
spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.
PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 6 setups
spliceJAC quantifies multivariate mRNA splicing from unspliced/spliced count matrices to construct cell state-specific gene-gene (Jacobian) interaction matrices.
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Structure of protein interaction networks and their implications on drug design.
PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups
Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.
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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Non-linear mapping for exploratory data analysis in functional genomics.
PMID 15661072 · PMC548129 · BMC bioinformatics · 2005 · 8 claims · 8 setups
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.
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Exploration of the omics evidence landscape: adding qualitative labels to predicted protein-protein interactions.
PMID 17880677 · PMC2375035 · Genome biology · 2007 · 7 claims · 8 setups
Combining pairs of omics evidence types into two-dimensional 'evidence landscapes' allows regions to be identified that specifically and purely predict either physical or metabolic protein interactions
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Whither genomics?
PMID 11104516 · PMC138820 · Genome biology · 2000 · 8 claims · 8 setups
Genomics is both a science (understanding genome structure/evolution) and a tool (learning gene function) that collects comprehensive data on all genes, in contrast to genetics which studies a few genes controlling a phenotype