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miRseqViewer: multi-panel visualization of sequence, structure and expression for analysis of microRNA sequencing data

Cited 3 time in Web of Science Cited 3 time in Scopus
Authors

Jang, Insu; Chang, Hyeshik; Jun, Yukyung; Park, Seongjin; Yang, Jin Ok; Lee, Byungwook; Kim, Wankyu; Kim, V. Narry; Lee, Sanghyuk

Issue Date
2015-02
Publisher
Oxford University Press
Citation
Bioinformatics, Vol.31 No.4, pp.596-598
Abstract
A Summary: Deep sequencing of small RNAs has become a routine process in recent years, but no dedicated viewer is as yet available to explore the sequence features simultaneously along with secondary structure and gene expression of microRNA (miRNA). We present a highly interactive application that visualizes the sequence alignment, secondary structure and normalized read counts in synchronous multipanel windows. This helps users to easily examine the relationships between the structure of precursor and the sequences and abundance of final products and thereby will facilitate the studies on miRNA biogenesis and regulation. The project manager handles multiple samples of multiple groups. The read alignment is imported in BAM file format. Implemented features comprise sorting, zooming, highlighting, editing, filtering, saving, exporting, etc. Currently, miRseqViewer supports 84 organisms whose annotation is available at miRBase. Availability and implementation: miRseqViewer, implemented in Java, is available at https://github.com/insoo078/mirseqviewer or at http://msv.kobic.re.kr. Contact: sanghyuk@ewha.ac.kr
ISSN
1367-4803
URI
https://hdl.handle.net/10371/171867
DOI
https://doi.org/10.1093/bioinformatics/btu676
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  • College of Natural Sciences
  • School of Biological Sciences
Research Area Molecular Biology & Genetics

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