VERSE: A varying effect regression for splicing elements discovery

Journal of Computational Biology

Volumn 19, Issue 6, 2012, Pages 855-865

  Zhang, Jing ^a   Jay Kuo, C C ^a   Chen, Liang ^b  

^a University of Southern California   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

computational molecular biology; next generation sequencing; regulatory regions; RNA; statistical models

Indexed keywords

HETEROGENEOUS NUCLEAR RIBONUCLEOPROTEIN; POLYPYRIMIDINE TRACT BINDING PROTEIN; RBFOX1 PROTEIN, HUMAN; RNA BINDING PROTEIN; RNA PRECURSOR;

ALTERNATIVE RNA SPLICING; ARTICLE; BINDING SITE; EXON; GENETICS; GENOMICS; HUMAN; INTRON; METHODOLOGY; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; PROTEIN BINDING; REGULATORY SEQUENCE; SEQUENCE ANALYSIS; STATISTICAL MODEL; STATISTICS;

ALTERNATIVE SPLICING; BASE SEQUENCE; BINDING SITES; CONSERVED SEQUENCE; EXONS; GENOMICS; HETEROGENEOUS-NUCLEAR RIBONUCLEOPROTEIN GROUP A-B; HETEROGENEOUS-NUCLEAR RIBONUCLEOPROTEIN GROUP F-H; HUMANS; INTRONS; MODELS, STATISTICAL; MOLECULAR SEQUENCE DATA; POLYPYRIMIDINE TRACT-BINDING PROTEIN; PROTEIN BINDING; REGULATORY SEQUENCES, NUCLEIC ACID; RNA PRECURSORS; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, RNA;

EID: 84862581867     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2012.0063     Document Type: Article

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