five

Gene Enhancer Predictions in C2C12 (Mouse Myoblast)

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13270435
下载链接
链接失效反馈
官方服务:
资源简介:
This file contains the complete enhancer prediction output of the analysis done in this study published on Nature Communications: https://www.nature.com/articles/s41467-025-57758-x using the Activity by Contact Model following the pipeline described here: https://github.com/broadinstitute/ABC-Enhancer-Gene-Prediction To be used in this analysis, a genomewide Hi-C interaction matrix was generated with Juicer  v1.6, expression counts for each gene were generated with STAR v2.7.10b and Rsubread v2.8.2, and the sequence alignment maps of ATAC-seq and H3K27ac ChIP-seq were generated with NextGenMap v0.5.5, all using raw sequencing reads downloaded from SRA: Hi-C (SRR16220088), RNA-seq (SRR074113 and SRR074114), ATAC-seq (SRR2999996) and H3K27ac ChIP-seq (SRR358589, SRR358590, and SRR358591). The chromosome coordinates are of the GRCm38 - mm10 assembly, and the gene IDs are from ENSEMBL annotation.   This research was funded in whole or in part by the Austrian Science Fund (FWF) [P29713-B28, P32512-B and P36503-B] to Roland Foisner and a doctorate program funded by the Austrian Science Fund (FWF) [W1261-B28].   For more information please refer to our publication that used these enhancer predictions titled: MyoD1 localization at the nuclear periphery is mediated by association of WFS1 with active enhancers
创建时间:
2025-03-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作