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Current tools for the identification of miRNA genes and their targets
被引:165
作者:
Mendes, N. D.
[1
,2
,3
]
Freitas, A. T.
[2
]
Sagot, M. -F.
[1
,3
]
机构:
[1] Univ Lyon 1, CNRS, Lab Biometrie & Biol Evolut, Equipe BAOBAB,UMR 5558, F-69622 Villeurbanne, France
[2] INESC, ID IST, P-1000029 Lisbon, Portugal
[3] INRIA Rhone Alpes, BAMBOO Team, F-38330 Montbonnot St Martin, France
关键词:
SUPPORT VECTOR MACHINE;
MICRORNA PRECURSORS;
COMPUTATIONAL IDENTIFICATION;
ARABIDOPSIS-THALIANA;
SEQUENCE MOTIFS;
PLANT MICRORNAS;
MESSENGER-RNA;
NUCLEAR EXPORT;
PREDICTION;
EXPRESSION;
D O I:
10.1093/nar/gkp145
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:
The discovery of microRNAs (miRNAs), almost 10 years ago, changed dramatically our perspective on eukaryotic gene expression regulation. However, the broad and important functions of these regulators are only now becoming apparent. The expansion of our catalogue of miRNA genes and the identification of the genes they regulate owe much to the development of sophisticated computational tools that have helped either to focus or interpret experimental assays. In this article, we review the methods for miRNA gene finding and target identification that have been proposed in the last few years. We identify some problems that current approaches have not yet been able to overcome and we offer some perspectives on the next generation of computational methods.
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页码:2419 / 2433
页数:15
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