MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals
Abstract Background 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 s...
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doaj-ce5d8f1a7e31428c8897f68f807310af2020-12-27T12:21:36ZengBMCBMC Bioinformatics1471-21052019-12-0120S241510.1186/s12859-019-3242-2MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammalsXikang Feng0Zishuai Wang1Hechen Li2Shuai Cheng Li3Department of Computer Science, City University of Hong KongDepartment of Computer Science, City University of Hong KongDepartment of Computer Science, City University of Hong KongDepartment of Computer Science, City University of Hong KongAbstract Background 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. Results 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. Conclusion 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.https://doi.org/10.1186/s12859-019-3242-2RNA editingVisualizationAnalysisWebserverMammal |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xikang Feng Zishuai Wang Hechen Li Shuai Cheng Li |
spellingShingle |
Xikang Feng Zishuai Wang Hechen Li Shuai Cheng Li MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals BMC Bioinformatics RNA editing Visualization Analysis Webserver Mammal |
author_facet |
Xikang Feng Zishuai Wang Hechen Li Shuai Cheng Li |
author_sort |
Xikang Feng |
title |
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals |
title_short |
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals |
title_full |
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals |
title_fullStr |
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals |
title_full_unstemmed |
MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals |
title_sort |
miria: a webserver for statistical, visual and meta-analysis of rna editing data in mammals |
publisher |
BMC |
series |
BMC Bioinformatics |
issn |
1471-2105 |
publishDate |
2019-12-01 |
description |
Abstract Background 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. Results 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. Conclusion 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. |
topic |
RNA editing Visualization Analysis Webserver Mammal |
url |
https://doi.org/10.1186/s12859-019-3242-2 |
work_keys_str_mv |
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