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...
| Publicado en: | BioMed Research International Vol. 2016; pp. 1 - 9 |
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| Autores principales: | , , , , , , , |
| Formato: | case study pictorial research Journal Article |
| Publicado: |
Wiley-Blackwell
4/28/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114918347&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114918347 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 4/28/2016 vid: 2016 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 114918347 114918347 114918347 10.1155/2016/8367534 114918347 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features. aug: au: Cui, Xiaodong Wei, Zhen Zhang, Lin Liu, Hui Sun, Lei Zhang, Shao-Wu Huang, Yufei Meng, Jia affil: Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78230, USA sug: subj: Software Design Methylation Gene Expression Profiling Methods RNA DNA Descriptive Statistics Data Analysis Software Confidence Intervals Odds Ratio Genomics Human Epithelial Cells Cell Line, Tumor Mice Fibroblasts Funding Source Animal Studies ab: 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 (m5C) 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. pubtype: Academic Journal doctype: case study pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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