MicroRNA target site identification by integrating sequence and binding information

被引：0
|
作者：
William H Majoros
Parawee Lekprasert
Neelanjan Mukherjee
Rebecca L Skalsky
David L Corcoran
Bryan R Cullen
Uwe Ohler
机构：
[1] Institute for Genome Sciences and Policy,Department of Molecular Genetics and Microbiology
[2] Duke University,Department of Biostatistics and Bioinformatics
[3] Program in Computational Biology and Bioinformatics,Department of Biology
[4] Duke University,undefined
[5] Berlin Institute for Medical Systems Biology,undefined
[6] Max Delbrück Center for Molecular Medicine,undefined
[7] Duke University,undefined
[8] Duke University,undefined
[9] Humboldt University of Berlin,undefined
来源：
Nature Methods | 2013年 / 10卷
关键词：
D O I：
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中图分类号：
学科分类号：
摘要：
The integration of microRNA target sequence features and data from cross-linking and immunoprecipitation of Argonaute proteins, implemented in the hidden Markov model–based framework MUMMIE, provides accurate prediction of microRNA targets.
引用
收藏
页码：630 / 633
页数：3
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