A comparison of performance of plant miRNA target prediction tools and the characterization of features for genome-wide target prediction

BMC Genomics

Volumn 15, Issue 1, 2014, Pages

  Srivastava, Prashant K ^a,d   Moturu, Taraka R ^a   Pandey, Priyanka ^b   Baldwin, Ian T ^c   Pandey, Shree P ^a  

^a INDIAN INSTITUTE OF SCIENCE EDUCATION AND RESEARCH KOLKATA   (India)

^b NATIONAL INSTITUTE OF BIOMEDICAL GENOMICS   (India)

^c MAX PLANCK INSTITUTE FOR CHEMICAL ECOLOGY   (Germany)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Deep sequencing; MiRNA; Non model plants; Plants; Target prediction

Indexed keywords

MESSENGER RNA; MICRORNA;

ARABIDOPSIS THALIANA; ARTICLE; BASE MISPAIRING; BIODIVERSITY; FALSE NEGATIVE RESULT; GENETIC ASSOCIATION; GRAPE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; NONHUMAN; PLANT GENETICS; PLANT GENOME; PLANT SEED; PREDICTION; RECALL BIAS; RICE; RNA BINDING; SENSITIVITY ANALYSIS; SOYBEAN; SPECIES DIFFERENCE; TARGET PREDICTION; TARGET VARIABLE; ALGORITHM; ARABIDOPSIS; CHEMISTRY; COMPARATIVE STUDY; GENETICS; HIGH THROUGHPUT SEQUENCING; METABOLISM; RECEIVER OPERATING CHARACTERISTIC; SEQUENCE ANALYSIS; THERMODYNAMICS;

ARABIDOPSIS;

ALGORITHMS; ARABIDOPSIS; GENOME, PLANT; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MICRORNAS; RNA, MESSENGER; ROC CURVE; SEQUENCE ANALYSIS, RNA; THERMODYNAMICS;

EID: 84900846639     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-15-348     Document Type: Article

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