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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Rapid identification of PAX2/5/8 direct downstream targets in the otic vesicle by combinatorial use of bioinformatics tools.
PMID 18828907 · PMC2760872 · Genome biology · 2008 · 8 claims · 8 setups
A combinatorial bioinformatics pipeline (evolutionary double filtering comparative genomics, GXD/ZFIN database queries, MEDLINE text mining) can rapidly and specifically identify PAX2/5/8 direct downstream targets in the otic vesicle
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High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites.
PMID 18988630 · PMC2662491 · Nucleic acids research · 2009 · 8 claims · 8 setups
Incorporating H3K4me3 chromatin modification estimates greatly improves the accuracy of in silico prediction of in vivo TF binding for a wide range of TFs in human and mouse
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CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features.
PMID 19922652 · PMC3091324 · Genome biology · 2009 · 8 claims · 8 setups
CTCF binding sites can be classified into three occupancy-based classes (LowOc, MedOc, HighOc) based on similarity to the CTCF PWM motif
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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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Has reproduction · 62
Application of alternative de novo motif recognition models for analysis of structural heterogeneity of transcription factor binding sites: a case study of FOXA2 binding sites.
PMID 34547062 · PMC8408018 · Vavilovskii zhurnal genetiki i selektsii · 2021 · 6 claims · 7 setups
Combining four de novo models (PWM, diPWM, BaMM, InMoDe) significantly increases the fraction of recognized peaks versus PWM alone (by 26.3%).