Identification of new stress-induced microRNA and their targets in wheat using computational approach

Plant Signaling and Behavior

Volumn 8, Issue 5, 2013, Pages

  Pandey, Bharati ^a,b   Gupta, Om Prakash ^a   Pandey, Dev Mani ^b   Sharma, Indu ^a   Sharma, Pradeep ^a  

^a ICAR INDIAN INSTITUTE OF WHEAT AND BARLEY RESEARCH   (India)

^b BIRLA INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Computational prediction; EST; miRNA; Target prediction; Wheat

Indexed keywords

MICRORNA;

ARTICLE; BIOLOGY; CHEMISTRY; COMPUTATIONAL PREDICTION; CONFORMATION; EST; EXPRESSED SEQUENCE TAG; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; PHYLOGENY; PHYSIOLOGICAL STRESS; PHYSIOLOGY; PLANT GENE; SEQUENCE ALIGNMENT; TARGET PREDICTION; WHEAT;

COMPUTATIONAL PREDICTION; EST; MIRNA; TARGET PREDICTION; WHEAT;

BASE SEQUENCE; COMPUTATIONAL BIOLOGY; EXPRESSED SEQUENCE TAGS; GENE EXPRESSION REGULATION, PLANT; GENES, PLANT; MICRORNAS; MOLECULAR SEQUENCE ANNOTATION; MOLECULAR SEQUENCE DATA; NUCLEIC ACID CONFORMATION; PHYLOGENY; SEQUENCE ALIGNMENT; STRESS, PHYSIOLOGICAL; TRITICUM;

TRITICUM AESTIVUM;

EID: 84877096474     PISSN: 15592316     EISSN: 15592324     Source Type: Journal    
DOI: 10.4161/psb.23932     Document Type: Article

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