A combined strategy of "in silico" transcriptome analysis and web search engine optimization allows an agile identification of reference genes suitable for normalization in gene expression studies

Plant Molecular Biology

Volumn 63, Issue 5, 2007, Pages 679-688

  Faccioli, Primetta ^a   Ciceri, Gian Paolo ^a   Provero, Paolo ^b   Stanca, Antonio Michele ^a   Morcia, Caterina ^a   Terzi, Valeria ^a  

^a CRA   (Italy)

^b UNIVERSITY OF TURIN   (Italy)

Author keywords

"In silico" analysis; Literature search; Reference genes; RNA quantification

Indexed keywords

BIODIVERSITY; DATA REDUCTION; SEARCH ENGINES; TISSUE;

GENE EXPRESSION; LITERATURE SEARCH; REFERENCE GENES; RNA QUANTIFICATION;

GENES;

COMPLEMENTARY DNA; PRIMER DNA; VEGETABLE PROTEIN;

ARTICLE; BARLEY; BIOLOGICAL MODEL; GENE EXPRESSION REGULATION; GENETIC TRANSCRIPTION; GENETICS; NUCLEOTIDE SEQUENCE; POLYMERASE CHAIN REACTION;

BASE SEQUENCE; DNA PRIMERS; DNA, COMPLEMENTARY; GENE EXPRESSION REGULATION, PLANT; HORDEUM; MODELS, GENETIC; PLANT PROTEINS; POLYMERASE CHAIN REACTION; TRANSCRIPTION, GENETIC;

BIODIVERSITY; DATA PROCESSING; GENES; PLANT TISSUES;

HORDEUM;

EID: 33847321126     PISSN: 01674412     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11103-006-9116-9     Document Type: Article

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