Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features



Cui, Xiaodong, Wei, Zhen, Zhang, Lin, Liu, Hui, Sun, Lei, Zhang, Shao-Wu, Huang, Yufei and Meng, Jia ORCID: 0000-0003-3455-205X
(2016) Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features. BIOMED RESEARCH INTERNATIONAL, 2016. 8367534-.

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Abstract

Biological features, such as genes and transcription factor binding sites, are often denoted with genome-based coordinates as the genomic features. While genome-based representation is usually very effective in correlating various biological features, it can be tedious to examine the relationship between RNA-related genomic features and the landmarks of RNA transcripts with existing tools due to the difficulty in the conversion between genome-based coordinates and RNA-based coordinates. We developed here an open source Guitar R/Bioconductor package for sketching the transcriptomic view of RNA-related biological features represented by genome based coordinates. Internally, Guitar package extracts the standardized RNA coordinates with respect to the landmarks of RNA transcripts, with which hundreds of millions of RNA-related genomic features can then be efficiently analyzed within minutes. We demonstrated the usage of Guitar package in analyzing posttranscriptional RNA modifications (5-methylcytosine and N6-methyladenosine) derived from high-throughput sequencing approaches (MeRIP-Seq and RNA BS-Seq) and show that RNA 5-methylcytosine (m(5)C) is enriched in 5'UTR. The newly developed Guitar R/Bioconductor package achieves stable performance on the data tested and revealed novel biological insights. It will effectively facilitate the analysis of RNA methylation data and other RNA-related biological features in the future.

Item Type: Article
Uncontrolled Keywords: Animals, Humans, Mice, RNA, Gene Expression Profiling, RNA Processing, Post-Transcriptional, Software, Databases, Nucleic Acid, Hep G2 Cells, Molecular Sequence Annotation, High-Throughput Nucleotide Sequencing
Depositing User: Symplectic Admin
Date Deposited: 14 Feb 2019 14:05
Last Modified: 19 Jan 2023 01:03
DOI: 10.1155/2016/8367534
Open Access URL: http://dx.doi.org/10.1155/2016/8367534
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3032864