Inferring the soybean (Glycine max) microRNA functional network based on target gene network
Author(s) -
Yungang Xu,
Maozu Guo,
Xiaoyan Liu,
Chunyu Wang,
Yang Liu
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt605
Subject(s) - modularity (biology) , microrna , computational biology , context (archaeology) , modular design , biology , computer science , gene regulatory network , gene , artificial intelligence , gene expression , genetics , paleontology , operating system
The rapid accumulation of microRNAs (miRNAs) and experimental evidence for miRNA interactions has ushered in a new area of miRNA research that focuses on network more than individual miRNA interaction, which provides a systematic view of the whole microRNome. So it is a challenge to infer miRNA functional interactions on a system-wide level and further draw a miRNA functional network (miRFN). A few studies have focused on the well-studied human species; however, these methods can neither be extended to other non-model organisms nor take fully into account the information embedded in miRNA-target and target-target interactions. Thus, it is important to develop appropriate methods for inferring the miRNA network of non-model species, such as soybean (Glycine max), without such extensive miRNA-phenotype associated data as miRNA-disease associations in human.
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