Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton
In-depth functional characterization of genomes relies on comprehensive transcriptome data. Here, the authors employ four complementary RNA sequencing technologies to explore the transcription landscape across 16 tissues or different organ types in diploid A genome cotton using a newly developed com...
Enregistré dans:
Auteurs principaux: | Kun Wang, Dehe Wang, Xiaomin Zheng, Ai Qin, Jie Zhou, Boyu Guo, Yanjun Chen, Xingpeng Wen, Wen Ye, Yu Zhou, Yuxian Zhu |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/7d49065b12c34b068e5078dbb95b4f7f |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
par: Richard S. Ahn, et autres
Publié: (2017) -
Discovering transcription factor binding sites in highly repetitive regions of genomes with multi-read analysis of ChIP-Seq data.
par: Dongjun Chung, et autres
Publié: (2011) -
Insight Between the Epigenetics and Transcription Responding of Cotton Hypocotyl Cellular Elongation Under Salt-Alkaline Stress
par: Cun Rui, et autres
Publié: (2021) -
The cotton WRKY transcription factor (GhWRKY33) reduces transgenic Arabidopsis resistance to drought stress
par: Na-Na Wang, et autres
Publié: (2019) -
Integrative analysis of Iso-Seq and RNA-seq data reveals transcriptome complexity and differentially expressed transcripts in sheep tail fat
par: Zehu Yuan, et autres
Publié: (2021)