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...
Үндсэн зохиолчид: | 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 |
---|---|
Формат: | Өгүүллэг |
Хэл сонгох: | English |
Хэвлэсэн: |
Nature Portfolio
2020-10-01
|
Цуврал: | Nature Communications |
Онлайн хандалт: | https://doi.org/10.1038/s41467-020-18832-8 |
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Author Correction: Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors
-н: Xiaoyu Tu, зэрэг
Хэвлэсэн: (2023-03-01) -
Impact of artefact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data.
-н: Thomas Samuel Carroll, зэрэг
Хэвлэсэн: (2014-04-01) -
ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis
-н: Karchenko Peter V, зэрэг
Хэвлэсэн: (2011-02-01) -
ChIP-Seq in Candida albicans
-н: Sadri Znaidi, зэрэг
Хэвлэсэн: (2014-06-01) -
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
-н: Pagès Hervé, зэрэг
Хэвлэсэн: (2010-05-01)