miRExpress: Analyzing high-throughput sequencing data for profiling microRNA expression |
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| Authors: | Wei-Chi Wang Feng-Mao Lin Wen-Chi Chang Kuan-Yu Lin Hsien-Da Huang and Na-Sheng Lin |
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| Institution: | (1) Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsin-Chu 300, Taiwan, Republic of China;(2) Institute of Biotechnology, National Cheng Kung University, Tainan 701, Taiwan, Republic of China;(3) Institute of Plant and Microbial Biology, Academia Sinica, Nankang, Taipei 11529, Republic of China;(4) Department of Biological Science and Technology, National Chiao Tung University, Hsin-Chu 300, Taiwan, Republic of China;(5) Institute of Tropical Plant Science, National Cheng Kung University, Tainan 701, Taiwan, Republic of China |
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| Abstract: | Background MicroRNAs (miRNAs), small non-coding RNAs of 19 to 25 nt, play important roles in gene regulation in both animals and plants.
In the last few years, the oligonucleotide microarray is one high-throughput and robust method for detecting miRNA expression.
However, the approach is restricted to detecting the expression of known miRNAs. Second-generation sequencing is an inexpensive
and high-throughput sequencing method. This new method is a promising tool with high sensitivity and specificity and can be
used to measure the abundance of small-RNA sequences in a sample. Hence, the expression profiling of miRNAs can involve use
of sequencing rather than an oligonucleotide array. Additionally, this method can be adopted to discover novel miRNAs. |
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