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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Reconstructing transcriptional regulatory networks through genomics data.
PMID 20048387 · PMC3666560 · Statistical methods in medical research · 2009 · 7 claims · 5 setups
Location data (ChIP-chip/ChIP-seq) alone is insufficient for TRN inference because binding does not imply regulation, TF binding is dynamic across conditions/time, and TRNs involve combinatorial effects of multiple TFs not captured by single-TF ChIP experiments.
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Has reproduction · 74
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.
PMID 22955991 · PMC3431496 · Genome research · 2012 · 8 claims · 8 setups
ENCODE/modENCODE define a set of working standards and guidelines for ChIP-seq covering antibody validation, experimental replication, sequencing depth, data/metadata reporting, and data quality assessment.
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Adaptively inferring human transcriptional subnetworks.
PMID 16760900 · PMC1681499 · Molecular systems biology · 2006 · 8 claims · 7 setups
A multivariate linear spline (MARS-based) model correlating PWM binding scores with log expression ratios can identify active cis-motif combinations in mammalian promoters without requiring gene clustering.
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Positive selection for the male functionality of a co-retroposed gene in the hominoids.
PMID 19832993 · PMC2773790 · BMC evolutionary biology · 2009 · 8 claims · 8 setups
PIPSL is an extraordinary co-retroposed protein-coding gene that may participate in male-specific functions of humans and close relatives
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High-throughput molecular analysis in lung cancer: insights into biology and potential clinical applications.
PMID 19648524 · PMC4648268 · The European respiratory journal · 2009 · 8 claims · 8 setups
High-throughput -omics technologies have revolutionised understanding of lung cancer biology and hold promise for personalised management of lung cancer