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KMID : 0578320130350040342
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Molecules and Cells
2013 Volume.35 No. 4 p.342 ~ p.347
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miRAuto: An Automated User-Friendly MicroRNA Prediction Tool Utilizing Plant Small RNA Sequencing Data
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Lee Jeong-Soo
Kim Dong-In
Park June-Hyun
Choi Ik-Young
Shin Chan-Seok
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Abstract
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MicroRNAs (miRNAs) are a class of small RNAs that post-transcriptionally regulate gene expression in animals and plants. The recent rapid advancement in miRNA biology, including high-throughput sequencing of small RNA libraries, inspired the development of a bioinformatics software, miRAuto, which predicts putative miRNAs in model plant genomes computationally. Furthermore, miRAuto enables users to identify miRNAs in non-model plant species whose genomes have yet to be fully sequenced. miRAuto analyzes the expression of the 5′-end position of mapped small RNAs in reference sequences to prevent the possibility of mRNA fragments being included as candidate miRNAs. We validated the utility of miRAuto on a small RNA dataset, and the results were compared to other publicly available miRNA prediction programs. In conclusion, miRAuto is a fully automated user-friendly tool for predicting miRNAs from small RNA sequencing data in both model and non-model plant species. miRAuto is available at http://nature.snu.ac.kr/software/miRAuto.htm.
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KEYWORD
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microRNA prediction software, plant microRNA, small RNA sequencing
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