MCENet Edit

Citations: 1

z-index: 1

Basic information
Short name MCENet
Full name
Description A database for maize conditional co-expression network and network characterization collaborated with multi-dimensional omics levels.
URL http://bioinformatics.cau.edu.cn/MCENet
Year founded 2017
Last update & version 2018
Availability Free to academic users only
Contact information
University/Institution hosted China Agricultural University
Address Yuanmingyuan Xilu, Beijing 100193, China
City Beijing
Province/State Beijing
Country/Region China
Contact name Zhen Su
Contact email zhensu@cau.edu.cn
Data information
Data object
  • Plant
Data type
  • RNA
Database category
  • Expression
Major organism
  • Zea mays
Keyword
  • network
  • transcriptomic
  • epigenomic
Publications
  • MCENet: A database for maize conditional co-expression network and network characterization collaborated with multi-dimensional omics levels. [PMID: 30057343]
    Tian Tian, Qi You, Hengyu Yan, Wenying Xu, Zhen Su

    Maize (Zea mays) is the most widely grown grain crop in the world, playing important roles in agriculture and industry. However, the functions of maize genes remain largely unknown. High-quality genome-wide transcriptome datasets provide important biological knowledge which has been widely and successfully used in plants not only by measuring gene expression levels but also by enabling co-expression analysis for predicting gene functions and modules related to agronomic traits. Recently, thousands of maize transcriptomic data are available across different inbred lines, development stages, tissues, and treatments, or even across different tissue sections and cell lines. Here, we integrated 701 transcriptomic and 108 epigenomic data and studied the different conditional networks with multi-dimensional omics levels. We constructed a searchable, integrative, one-stop online platform, the maize conditional co-expression network (MCENet) platform. MCENet provides 10 global/conditional co-expression networks, 5 network accessional analysis toolkits (i.e., Network Search, Network Remodel, Module Finder, Network Comparison, and Dynamic Expression View) and multiple network functional support toolkits (e.g., motif and module enrichment analysis). We hope that our database might help plant research communities to identify maize functional genes or modules that regulate important agronomic traits. MCENet is publicly accessible at http://bioinformatics.cau.edu.cn/MCENet/.

    J Genet Genomics 2018:45(7)

    1 Citations (from Europe PMC, 2019-01-19)

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  • Created on: 2019-01-04
    • ***ina@***c.cn [2019-01-29]
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-12]
    • ***d@***c.cn [2019-01-04]

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