官方服务：
资源简介：
To identify the regulatory network of GhSRS21
应用场景：
创建时间：
2022-10-22
相关数据集
Analyzing negative feedback using a synthetic gene network expressed in the Drosophila melanogaster embryo
Background: A complex network of gene interactions controls gene regulation throughout development and the life of the organisms. Insights can be made into these processes by studying the functional i
NIAID Data Ecosystem70
GO:0003151 (outflow tract morphogenesis)
This network was assembled automatically by INDRA (http://indra.bio) by processing all available biomedical literature with multiple machine reading systems, and integrating curated pathway databases.
NIAID Data Ecosystem10
GRN inference tools from single-cell transcriptomics categorized by their inferring algorithm.
The characteristics of the inferred network are indicated as follows: ⊘ undirected; ⊳ directed and unsigned; ▶ directed and signed.
NIAID Data Ecosystem00
Enriched clusters in regulatory networks.
Functional annotation clustering of genes with a H3K27ac differently enriched promoter connected to transcription factors with motifs overrepresented in soleus and EDL myonuclei, respectively. Cluster
Figshare2021-11-09 更新10
Identification of elite fiber quality loci in upland cotton based on the genotyping-by-target-sequencing technology
Genome-wide association studies (GWAS) of fiber quality traits of upland cotton were conducted to identify the single-nucleotide polymorphic (SNP) loci associated with cotton fiber quality, which lays
NIAID Data Ecosystem00
