Small RNA transcriptome investigation based on next-generation sequencing technology

Linglin Zhou^a,
Xueying Li^a,
Qi Liu^a,
Fangqing Zhao^{b
, ,},
Jinyu Wu^{a
, ,}

a.
Institute of Genomic Medicine, Wenzhou Medical College, Wenzhou 325035, China
b.
Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China

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Corresponding author: E-mail address: zhfq@mail.biols.ac.cn (Fangqing Zhao); E-mail address: iamwujy@yahoo.com.cn (Jinyu Wu)

摘要

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Abstract: Over the past decade, there has been a growing realization that studying the small RNA transcriptome is essential for understanding the complexity of transcriptional regulation. With an increased throughput and a reduced cost, next-generation sequencing technology has provided an unprecedented opportunity to measure the extent and complexity of small RNA transcriptome. Meanwhile, the large amount of obtained data and varied technology platforms have also posed multiple challenges for effective data analysis and mining. To provide some insight into the small RNA transcriptome investigation, this review describes the major small RNA classes, experimental methods to identify small RNAs, and available bioinformatics tools and databases.
- Next-generation sequencing /
- Small RNA transcriptome /
- Category /
- Bioinformatics

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doi: 10.1016/j.jgg.2011.08.006

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Small RNA transcriptome investigation based on next-generation sequencing technology

Corresponding author: E-mail address: zhfq@mail.biols.ac.cn (Fangqing Zhao); E-mail address: iamwujy@yahoo.com.cn (Jinyu Wu)

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doi: 10.1016/j.jgg.2011.08.006

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Small RNA transcriptome investigation based on next-generation sequencing technology

Corresponding author: E-mail address: zhfq@mail.biols.ac.cn (Fangqing Zhao); E-mail address: iamwujy@yahoo.com.cn (Jinyu Wu)

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