A model-based approach to identify binding sites in CLIP-seq data

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Wang, Tao ^a   Chen, Beibei ^a,b   Kim, MinSoo ^a,b   Xie, Yang ^a,b   Xiao, Guanghua ^a  

^a UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; RNA; RNA BINDING PROTEIN;

ALGORITHM; ARTICLE; BINDING SITE; CLUSTER ANALYSIS; CONTROLLED STUDY; CROSS LINKING IMMUNOPRECIPITATION; HIGH THROUGHPUT SEQUENCING; IMMUNOPRECIPITATION; PREDICTION; PROBABILITY; RNA SEQUENCE; RNA STRUCTURE; SCORING SYSTEM; SIGNAL NOISE RATIO; BIOLOGICAL MODEL; CHEMISTRY; METABOLISM; PROCEDURES; SEQUENCE ANALYSIS;

ALGORITHMS; BINDING SITES; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MICRORNAS; MODELS, BIOLOGICAL; RNA; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, RNA;

EID: 84899497034     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0093248     Document Type: Article

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