Integrated sequence-structure motifs suffice to identify microrna precursors

PLoS ONE

Volumn 7, Issue 3, 2012, Pages

  Liu, Xiuqin ^a,d   He, Shunmin ^b   Skogerbø, Geir ^c   Gong, Fuzhou ^d,e   Chen, Runsheng ^c,d  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b INSTITUTE OF ZOOLOGY   (China)

^c INSTITUTE OF BIOPHYSICS   (China)

^d INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^e INSTITUTE OF APPLIED MATHEMATICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA;

ACCURACY; ALGORITHM; ARTICLE; COMPUTER PROGRAM; GENE LOCUS; HUMAN GENOME; PROTEIN MOTIF; RNA ANALYSIS; RNA SEQUENCE; RNA STRUCTURE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; CHEMISTRY; COMPARATIVE STUDY; CONFORMATION; EVALUATION; GENETICS; HUMAN; METABOLISM; NUCLEIC ACID DATABASE; NUCLEOTIDE SEQUENCE; RNA PROCESSING; STATISTICS;

ALGORITHMS; BASE SEQUENCE; DATABASES, NUCLEIC ACID; GENOME, HUMAN; HUMANS; MICRORNAS; NUCLEIC ACID CONFORMATION; RNA PROCESSING, POST-TRANSCRIPTIONAL; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84863280737     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0032797     Document Type: Article

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