Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors

Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors

Transcriptional factors (TFs) bind in a combinatorial fashion to specify the on-and-off states of genes in a complex and redundant regulatory network. Here, the authors construct the transcription regulatory network in maize leaf using 104 TFs ChIP-seq data and train machine learning models to predi...

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Bibliografski detalji
Glavni autori: Xiaoyu Tu, María Katherine Mejía-Guerra, Jose A. Valdes Franco, David Tzeng, Po-Yu Chu, Wei Shen, Yingying Wei, Xiuru Dai, Pinghua Li, Edward S. Buckler, Silin Zhong
Format: Članak
Jezik:English
Izdano: Nature Portfolio 2020-10-01
Serija:Nature Communications
Online pristup:https://doi.org/10.1038/s41467-020-18832-8

Internet

https://doi.org/10.1038/s41467-020-18832-8

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