Website Maintenance Notice

Dear Users,
We would like to inform you that our website will udergo scheduled maintenance on the following date:
Date: May 31, 2024 to June 7, 2024

During this period, the website may be temporarily unavailable.
We apologize for any inconvenience this may cause and appreciate your understanding and patience.

If you have any questions or need further assistance, please contact us at
[PBMB LAB] wenchilab@gmail.com
Thank you for your continued support.
Best regards,
Plant Bioinformatics and Molecular Biology LAB

 
         
 

AtmiRNET is a novel resource geared towards plant scientists for reconstructing regulatory networks of Arabidopsis miRNAs. By means of highlighted miRNA studies in target recognition, functional enrichment of target genes, promoter identification, and detection of cis- and trans- elements, AtmiRNET allows users to explore mechanisms of transcriptional regulation and miRNA functions in Arabidopsis thaliana, which are rarely investigated so far. High-throughput next generation sequencing (NGS) datasets from transcriptional start sites (TSSs)-relevant experiments as well as five core promoter elements were collected to establish the SVM-based prediction model for Arabidopsis miRNA TSSs. Then, high-confidence transcription factors (TFs) participate in transcriptional regulation of Arabidopsis miRNAs are provided based on statistical approach. Furthermore, both experimentally verified and putative miRNA-target interactions (MTIs), whose validity was supported by the correlations between the expression levels of miRNAs and their targets, are elucidated for functional enrichment analysis. The inferred regulatory networks give users an intuitive insight into the pivotal roles of Arabidopsis miRNAs through the crosstalk between miRNA transcriptional regulation (upstream) and miRNA-mediate (downstream) gene circuits.

 
[Contact information]
Corresponding author: Dr. Wen-Chi Chang
Tel:  +886 6 275 7575 ext. 57322
Fax:  +886 6 208 3663
Email:  sarah321@mail.ncku.edu.tw


Chien, C.-H., Chiang-Hsieh, Y.-F., Chen, Y.-A., Chow, C.-N., Wu, N.-Y., Hou, P.-F. and Chang, W.-C. (2015). AtmiRNET: a web-based resource for reconstructing regulatory networks of Arabidopsis microRNAs. Database 2015, bav042.
 
       
  Last update: 2024/05/30