miRseqViewer: multi-panel visualization of sequence, structure and expression for analysis of microRNA sequencing data
Author(s) -
Insu Jang,
Hyeshik Chang,
Yukyung Jun,
Seong-Jin Park,
Jin Ok Yang,
Byung-Wook Lee,
Wankyu Kim,
V. Narry Kim,
Sanghyuk Lee
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu676
Subject(s) - visualization , microrna , sequence (biology) , computational biology , sequence analysis , computer science , expression (computer science) , data mining , biology , genetics , gene , programming language
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.
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