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We developed an algorithm, Lever, that systematically maps metazoan DNA regulatory motifs or motif combinations to sets of genes. Lever assesses whether the motifs are enriched in cis-regulatory modules (CRMs), predicted by our PhylCRM algorithm, in the noncoding sequences surrounding the genes. Lever analysis allows unbiased inference of functional annotations to regulatory motifs and candidate CRMs. We used human myogenic differentiation as a model system to statistically assess greater than 25,000 pairings of gene sets and motifs or motif combinations. We assigned functional annotations to candidate regulatory motifs predicted previously and identified gene sets that are likely to be co-regulated via shared regulatory motifs. Lever allows moving beyond the identification of putative regulatory motifs in mammalian genomes, toward understanding their biological roles. This approach is general and can be applied readily to any cell type, gene expression pattern or organism of interest. 相似文献
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Allelic expression mapping across cellular lineages to establish impact of non‐coding SNPs
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Veronique Adoue Jonas Carlsson Almlöf Per Lundmark Bing Ge Tony Kwan Maxime Caron Lars Rönnblom Chuan Wang Shu‐Huang Chen Alison H Goodall Francois Cambien Panos Deloukas Willem H Ouwehand Ann‐Christine Syvänen Tomi Pastinen 《Molecular systems biology》2014,10(10)
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G-quadruplexes in promoters throughout the human genome 总被引:22,自引:11,他引:11
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