TY - JOUR
T1 - Guitar
T2 - An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features
AU - Cui, Xiaodong
AU - Wei, Zhen
AU - Zhang, Lin
AU - Liu, Hui
AU - Sun, Lei
AU - Zhang, Shao Wu
AU - Huang, Yufei
AU - Meng, Jia
N1 - Funding Information:
This study is supported by National Natural Science Foundation of China (61401370, 61473232, 91430111, 61501466, and 61301220), Fundamental Research Funds for the Central Universities (2014QNB47, 2014QNA84), Jiangsu Science and Technology Program (BK20140403), and US National Institutes of Health 5 U54 CA113001 and R01GM113245. The authors also appreciate the computational support from Computational Systems Biology Core, University of Texas at SanAntonio funded byNational Institute on Minority Health and Health Disparities (G12MD007591) from the National Institutes of Health of USA
Publisher Copyright:
© 2016 Xiaodong Cui et al.
PY - 2016
Y1 - 2016
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84973327199&partnerID=8YFLogxK
U2 - 10.1155/2016/8367534
DO - 10.1155/2016/8367534
M3 - Article
C2 - 27239475
AN - SCOPUS:84973327199
SN - 2314-6133
VL - 2016
JO - BioMed Research International
JF - BioMed Research International
M1 - 8367534
ER -