| Literature DB >> 33822666 |
Junpeng Zhang1,2, Lin Liu3, Taosheng Xu4, Wu Zhang5, Chunwen Zhao2, Sijing Li2, Jiuyong Li3, Nini Rao1, Thuc Duy Le3.
Abstract
In molecular biology, microRNA (miRNA) sponges are RNA transcripts which compete with other RNA transcripts for binding with miRNAs. Research has shown that miRNA sponges have a fundamental impact on tissue development and disease progression. Generally, to achieve a specific biological function, miRNA sponges tend to form modules or communities in a biological system. Until now, however, there is still a lack of tools to aid researchers to infer and analyse miRNA sponge modules from heterogeneous data. To fill this gap, we develop an R/Bioconductor package, miRSM, for facilitating the procedure of inferring and analysing miRNA sponge modules. miRSM provides a collection of 50 co-expression analysis methods to identify gene co-expression modules (which are candidate miRNA sponge modules), four module discovery methods to infer miRNA sponge modules and seven modular analysis methods for investigating miRNA sponge modules. miRSM will enable researchers to quickly apply new datasets to infer and analyse miRNA sponge modules, and will consequently accelerate the research on miRNA sponges.Entities:
Keywords: ceRNA; lncRNA; miRNA; miRNA sponge modules; modular analysis
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Year: 2021 PMID: 33822666 PMCID: PMC8632112 DOI: 10.1080/15476286.2021.1905341
Source DB: PubMed Journal: RNA Biol ISSN: 1547-6286 Impact factor: 4.652