Bayesian hidden Markov models to identify RNA-protein interaction sites in PAR-CLIP

Biometrics

Volumn 70, Issue 2, 2014, Pages 430-440

  Yun, Jonghyun ^a   Wang, Tao ^a   Xiao, Guanghua ^a  

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

Author keywords

Beta geometric; Markov chain Monte Carlo; Next generation sequencing data; Non homogeneous hidden Markov model; PAR CLIP; RNA binding protein

Indexed keywords

BINDING SITES; PROTEINS; RNA;

BETA GEOMETRIC; CROSS LINKING; HIDDEN-MARKOV MODELS; IMMUNOPRECIPITATIONS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; NEXT GENERATION SEQUENCING DATA; NEXT-GENERATION SEQUENCING; NON-HOMOGENEOUS; NON-HOMOGENEOUS HIDDEN MARKOV MODEL; PHOTOACTIVATABLE; PHOTOACTIVATABLE RIBONUCLEOSIDE ENHANCED CROSS-LINKING IMMUNOPRECIPITATION; RIBONUCLEOSIDES; RNA-BINDING PROTEIN;

HIDDEN MARKOV MODELS;

BAYESIAN ANALYSIS; BIOMETRY; GENOMICS; MARKOV CHAIN; MONTE CARLO ANALYSIS; MUTATION; NUMERICAL MODEL; PROTEIN; RNA;

CROSS LINKING REAGENT; FMR1 PROTEIN, HUMAN; FRAGILE X MENTAL RETARDATION PROTEIN; PROTEIN; RNA; RNA BINDING PROTEIN;

BAYES THEOREM; BINDING SITE; BIOMETRY; CHEMISTRY; COMPUTER SIMULATION; CONFORMATION; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; IMMUNOPRECIPITATION; METABOLISM; PROBABILITY; PROCEDURES; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS; STATISTICAL MODEL;

BAYES THEOREM; BINDING SITES; BIOMETRY; COMPUTER SIMULATION; CROSS-LINKING REAGENTS; FRAGILE X MENTAL RETARDATION PROTEIN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; IMMUNOPRECIPITATION; MARKOV CHAINS; MODELS, STATISTICAL; NUCLEIC ACID CONFORMATION; PROTEIN STRUCTURE, SECONDARY; PROTEINS; RNA; RNA-BINDING PROTEIN FUS; SEQUENCE ANALYSIS, RNA;

EID: 84902346402     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12147     Document Type: Article

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