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

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 be...

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Detalles Bibliográficos
Autores principales: Cui, Xiaodong, Wei, Zhen, Zhang, Lin, Liu, Hui, Sun, Lei, Zhang, Shao-Wu, Huang, Yufei, Meng, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864564/
https://www.ncbi.nlm.nih.gov/pubmed/27239475
http://dx.doi.org/10.1155/2016/8367534
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author Cui, Xiaodong
Wei, Zhen
Zhang, Lin
Liu, Hui
Sun, Lei
Zhang, Shao-Wu
Huang, Yufei
Meng, Jia
author_facet Cui, Xiaodong
Wei, Zhen
Zhang, Lin
Liu, Hui
Sun, Lei
Zhang, Shao-Wu
Huang, Yufei
Meng, Jia
author_sort Cui, Xiaodong
collection PubMed
description 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.
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spelling pubmed-48645642016-05-29 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 Meng, Jia Biomed Res Int Research Article 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. Hindawi Publishing Corporation 2016 2016-04-28 /pmc/articles/PMC4864564/ /pubmed/27239475 http://dx.doi.org/10.1155/2016/8367534 Text en Copyright © 2016 Xiaodong Cui et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cui, Xiaodong
Wei, Zhen
Zhang, Lin
Liu, Hui
Sun, Lei
Zhang, Shao-Wu
Huang, Yufei
Meng, Jia
Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title_full Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title_fullStr Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title_full_unstemmed Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title_short Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
title_sort guitar: an r/bioconductor package for gene annotation guided transcriptomic analysis of rna-related genomic features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864564/
https://www.ncbi.nlm.nih.gov/pubmed/27239475
http://dx.doi.org/10.1155/2016/8367534
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