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3
High-throughput identification of long-range regulatory elements and their target promoters in the human genome.
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Exploiting sequence-based features for predicting enhancer-promoter interactions.
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引用本文的文献

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Loopsim: enrichment analysis of chromosome conformation capture with fast empirical distribution simulation.
NAR Genom Bioinform. 2025 Jul 19;7(3):lqaf098. doi: 10.1093/nargab/lqaf098. eCollection 2025 Sep.
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Read Mapping for Hi-C Analysis.
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Identification of chromatin loops from Hi-C interaction matrices by CTCF-CTCF topology classification.
NAR Genom Bioinform. 2022 Mar 8;4(1):lqac021. doi: 10.1093/nargab/lqac021. eCollection 2022 Mar.
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Comparison of Capture Hi-C Analytical Pipelines.
Front Genet. 2022 Jan 28;13:786501. doi: 10.3389/fgene.2022.786501. eCollection 2022.
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Seeing the forest through the trees: prioritising potentially functional interactions from Hi-C.
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Analysis of Hi-C Data for Discovery of Structural Variations in Cancer.
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SARS-CoV-2 meta-interactome suggests disease-specific, autoimmune pathophysiologies and therapeutic targets.
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Network-based method for regions with statistically frequent interchromosomal interactions at single-cell resolution.
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DRAW+SneakPeek: analysis workflow and quality metric management for DNA-seq experiments.
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High-throughput identification of long-range regulatory elements and their target promoters in the human genome.
Nucleic Acids Res. 2013 May;41(9):4835-46. doi: 10.1093/nar/gkt188. Epub 2013 Mar 21.
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Integrative annotation of chromatin elements from ENCODE data.
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Topological domains in mammalian genomes identified by analysis of chromatin interactions.
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Comprehensive mapping of long-range interactions reveals folding principles of the human genome.
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