Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution

Here the authors present the low input capture Hi-C (liCHi-C) method, a cost-effective, flexible method to map and robustly compare promoter interactomes at high resolution. liCHi-C identifies new disease-associated genes and structural variants to ultimately illuminate their pathogenic effects.

書誌詳細

主要な著者:	Laureano Tomás-Daza, Llorenç Rovirosa, Paula López-Martí, Andrea Nieto-Aliseda, François Serra, Ainoa Planas-Riverola, Oscar Molina, Rebecca McDonald, Cedric Ghevaert, Esther Cuatrecasas, Dolors Costa, Mireia Camós, Clara Bueno, Pablo Menéndez, Alfonso Valencia, Biola M. Javierre
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2023-01-01
シリーズ:	Nature Communications
オンライン･アクセス:	https://doi.org/10.1038/s41467-023-35911-8
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