The prebuilt database for NIRA (Network inference and cell type Identification by integrating scRNA-seq with ATAC-seq)
收藏DataCite Commons2023-04-05 更新2025-04-17 收录
下载链接：
https://figshare.manchester.ac.uk/articles/dataset/The_prebuilt_database_for_NIRA_Network_inference_and_cell_type_Identification_by_integrating_scRNA-seq_with_ATAC-seq_/21313620
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资源简介：
As chromatin accessibility provides rich information on transcription factor binding process, for a given TF-based raw regulon, firstly we test whether the TF motif is enriched in this regulon. To perform this efficiently, we have built our own database in BED format, which contains all available TF motifs and their occurrences across the potential binding regions (TSS$\pm10$ kb) of all MOUSE genes.
提供机构：
University of Manchester
创建时间：
2023-01-09
