Paper Info
Title
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals.
Abstract
Adenosine-to-inosine RNA editing can markedly diversify the transcriptome, leading to a variety of critical molecular and biological processes in mammals. Over the past several years, researchers have developed several new pipelines and software packages to identify RNA editing sites with a focus on downstream statistical analysis and functional interpretation. Here, we developed a user-friendly public webserver named MIRIA that integrates statistics and visualization techniques to facilitate the comprehensive analysis of RNA editing sites data identified by the pipelines and software packages. MIRIA is unique in that provides several analytical functions, including RNA editing type statistics, genomic feature annotations, editing level statistics, genome-wide distribution of RNA editing sites, tissue-specific analysis and conservation analysis. We collected high-throughput RNA sequencing (RNA-seq) data from eight tissues across seven species as the experimental data for MIRIA and constructed an example result page. MIRIA provides both visualization and analysis of mammal RNA editing data for experimental biologists who are interested in revealing the functions of RNA editing sites. MIRIA is freely available at https://mammal.deepomics.org.
Year
DOI
Venue
2019
10.1186/s12859-019-3242-2
BMC Bioinformatics
Keywords
Field
DocType
RNA editing, Visualization, Analysis, Webserver, Mammal
RNA,Biology,Visualization,RNA editing,Functional interpretation,Computational biology,Genetics,DNA microarray,Creative visualization,Web server,Statistical analysis
Journal
Volume
Issue
ISSN
24
suppl
1471-2105
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Xikang Feng100.68
Zishuai Wang220.74
Hechen Li301.01
Shuai Cheng Li418430.25