Evidence map›Paper›PMID 27239475›Full record

ArticleBioMed research international2016

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

Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shao-Wu Zhang, Yufei Huang, Jia Meng

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

119 citing papers in PubMed.

  1. Article
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  5. mNature metabolism · 2026
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  13. Multi-region mNature neuroscience · 2026
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  14. NResearch (Washington, D.C.) · 2026
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  15. Article
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59 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaodong CuiDepartment of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78230, USA.
Zhen WeiDepartment of Biological Sciences, HRINU, SUERI, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Institute of Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK.
Lin ZhangSchool of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Hui LiuSchool of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Lei SunSchool of Information Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China.
Shao-Wu ZhangSchool of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710027, China.
Yufei HuangDepartment of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78230, USA.
Jia MengDepartment of Biological Sciences, HRINU, SUERI, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Institute of Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK.

Funding

Predicting Drug Resistance in Cancer Genomes by DMA Methylation ProfilingU54CA113001 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2004 to 2014
$16.1M
RCMI Center for Interdiscplinary Health Research CIHRG12MD007591 · NIMHD · UNIVERSITY OF TEXAS SAN ANTONIO · PI PERRY, GEORGE · 2012 to 2016
$10.4M
Collaborative Research:Graphical models for characterizing global RNA methylationR01GM113245 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI HUANG, YUFEI · 2014 to 2016
$1.1M
NCI NIH HHS U54 CA113001NIGMS NIH HHS R01 GM113245NIMHD NIH HHS G12 MD007591
6 · The paper itself

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.

Indexed as

SoftwareAnimalsDatabases, Nucleic AcidGene Expression ProfilingHep G2 CellsHigh-Throughput Nucleotide SequencingHumansMiceMolecular Sequence AnnotationRNARNA Processing, Post-TranscriptionalRNA

Identifiers

PMID27239475
PMCPMC4864564

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.