SCENT 利用单细胞多组学确定非编码疾病机制。

IF 39.1 1区生物学 Q1 GENETICS & HEREDITY

Nature Reviews Genetics Pub Date : 2024-05-30 DOI:10.1038/s41576-024-00747-5

Saori Sakaue

引用次数: 0

摘要

在这篇 "贸易工具"（Tools of the Trade）文章中，Saori Sakaue 介绍了 SCENT，这是一种利用单细胞多组学数据生成细胞类型特异性增强子-基因图谱的工具，有助于从 GWAS 定义的位点中识别致病的非编码变异和基因。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

SCENT defines non-coding disease mechanisms using single-cell multi-omics

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SCENT defines non-coding disease mechanisms using single-cell multi-omics

In this Tools of the Trade article, Saori Sakaue describes SCENT, a tool to generate cell-type-specific enhancer–gene maps using single-cell multi-omics data, which can help identify disease-causal, non-coding variants and genes from GWAS-defined loci.

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来源期刊

Nature Reviews Genetics 生物-遗传学

CiteScore

57.40

自引率

0.50%

发文量

113

审稿时长

6-12 weeks

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