Time-series RNA-seq analysis package (TRAP) and its application to the analysis of rice, Oryza sativa L. ssp. Japonica, upon drought stress

Methods

Volumn 67, Issue 3, 2014, Pages 364-372

  Jo, Kyuri ^a   Kwon, Hawk Bin ^b   Kim, Sun ^a  

^a Seoul National University   (South Korea)

^b SunMoon University   (South Korea)

Author keywords

Drought; Drought resistance rice; RNA seq; Time series; Time series gene expression; Water stress

Indexed keywords

DITERPENOID; GIBBERELLIN; ISOQUINOLINE ALKALOID; LINOLENIC ACID; REACTIVE OXYGEN METABOLITE; SUPEROXIDE DISMUTASE;

ABIOTIC STRESS; ARTICLE; DROUGHT RESISTANCE; DROUGHT STRESS; FATTY ACID METABOLISM; FATTY ACID OXIDATION; FATTY ACID SYNTHESIS; GENE EXPRESSION; GENE INTERACTION; NONHUMAN; PHENOTYPE; PHOTOSYNTHESIS; PLANT PATHOGEN INTERACTION; PRIORITY JOURNAL; RICE; RNA ANALYSIS; SALT TOLERANCE; SIGNAL TRANSDUCTION; TIME SERIES ANALYSIS; TIME SERIES RNA SEQUENCE ANALYSIS PACKAGE; WATER STRESS; ALGORITHM; COMPUTER PROGRAM; DROUGHT; GENE EXPRESSION REGULATION; GENETICS; MENTAL STRESS; PROCEDURES; SEQUENCE ANALYSIS;

JAPONICA; ORYZA SATIVA;

ALGORITHMS; DROUGHTS; GENE EXPRESSION REGULATION, PLANT; ORYZA SATIVA; SEQUENCE ANALYSIS, RNA; SOFTWARE; STRESS, PSYCHOLOGICAL;

EID: 84901395362     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.02.001     Document Type: Article

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