five

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and GmLHP1OE soybean plants Transcriptomes

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA702619
下载链接
链接失效反馈
官方服务:
资源简介:
Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived GmLHP1OE soybean plants Transcriptomes profiling (RNA-seq) to microarray methods and to evaluate protocols for optimal high-throughput data analysis.Results: RNA-Seq analysis identified 422 differentially expressed genes (DEGs) with >2.0-fold differences in expression in GmLHP1-OE vs. WT plants under non-stress conditions (False discovery rate [FDR] **P < 0.01). Among the 422 DEGs, 253 were significantly upregulated and 169 were significantly downregulated.
创建时间:
2021-02-18
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