miRSeq : A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profiling
Joint Authors
Pan, Cheng-Tsung
Lin, Wei-Chen
Tsai, Kuo-Wang
Li, Sung-Chou
Hung, Tzu-Min
Pan, Chao-Yu
Yu, Hong-Ren
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
MicroRNAs (miRNAs) present diverse regulatory functions in a wide range of biological activities.
Studies on miRNA functions generally depend on determining miRNA expression profiles between libraries by using a next-generation sequencing (NGS) platform.
Currently, several online web services are developed to provide small RNA NGS data analysis.
However, the submission of large amounts of NGS data, conversion of data format, and limited availability of species bring problems.
In this study, we developed miRSeq to provide alternatives.
To test the performance, we had small RNA NGS data from four species, including human, rat, fly, and nematode, analyzed with miRSeq.
The alignments results indicate that miRSeq can precisely evaluate the sequencing quality of samples regarding percentage of self-ligation read, read length distribution, and read category.
miRSeq is a user-friendly standalone toolkit featuring a graphical user interface (GUI).
After a simple installation, users can easily operate miRSeq on a PC or laptop by using a mouse.
Within minutes, miRSeq yields useful miRNA data, including miRNA expression profiles, 3′ end modification patterns, and isomiR forms.
Moreover, miRSeq supports the analysis of up to 105 animal species, providing higher flexibility.
American Psychological Association (APA)
Pan, Cheng-Tsung& Tsai, Kuo-Wang& Hung, Tzu-Min& Lin, Wei-Chen& Pan, Chao-Yu& Yu, Hong-Ren…[et al.]. 2014. miRSeq : A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profiling. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-473460
Modern Language Association (MLA)
Pan, Cheng-Tsung…[et al.]. miRSeq : A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profiling. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-473460
American Medical Association (AMA)
Pan, Cheng-Tsung& Tsai, Kuo-Wang& Hung, Tzu-Min& Lin, Wei-Chen& Pan, Chao-Yu& Yu, Hong-Ren…[et al.]. miRSeq : A User-Friendly Standalone Toolkit for Sequencing Quality Evaluation and miRNA Profiling. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-473460
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473460