共 94 条
Small RNA transcriptome investigation based on next-generation sequencing technology
被引:27
作者:

Zhou, Linglin
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机构:
Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China

Li, Xueying
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机构:
Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China

Liu, Qi
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机构:
Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China

Zhao, Fangqing
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机构:
Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China

Wu, Jinyu
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机构:
Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China
机构:
[1] Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China
[2] Wenzhou Med Coll, Inst Genom Med, Wenzhou 325035, Peoples R China
基金:
国家高技术研究发展计划(863计划);
关键词:
Next-generation sequencing;
Small RNA transcriptome;
Category;
Bioinformatics;
SMALL INTERFERING RNAS;
PIWI-INTERACTING RNAS;
TRANS-ACTING SIRNAS;
ENDOGENOUS SIRNAS;
TRYPANOSOMA-BRUCEI;
C-ELEGANS;
TINY RNAS;
MICRORNAS;
GENE;
IDENTIFICATION;
D O I:
10.1016/j.jgg.2011.08.006
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
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.
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收藏
页码:505 / 513
页数:9
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