A Model-Based Approach to Identify Binding Sites in CLIP-Seq Data

Open Access

Peer-reviewed

Research Article

Tao Wang,

Affiliation Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯
Beibei Chen,

Affiliations Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯
MinSoo Kim,

Affiliations Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯
Yang Xie,

Affiliations Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯
Guanghua Xiao

* E-mail: Guanghua.Xiao@UTSouthwestern.edu

Affiliation Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America
⨯

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MicroRNAs
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Hidden Markov models
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RNA-binding proteins
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Sequence motif analysis
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Substitution mutation
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RNA sequencing
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Genomics
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RNA structure
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