A minimum variance method for genome-wide data-driven normalization of quantitative real-time polymerase chain reaction expression data

Analytical Biochemistry

Volumn 458, Issue , 2014, Pages 11-13

  Garcia, Benjamin ^a,b   Walter, Nicholas D ^c   Dolganov, Gregory ^d   Coram, Marc ^d   Davis, J Lucian ^e   Schoolnik, Gary K ^d   Strong, Michael ^a,b  

^a DEPARTMENT OF MEDICINE   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^d STANFORD UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data driven normalization; Multiplex qRT PCR

Indexed keywords

GENES; RNA;

DATA DRIVEN; ENVIRONMENTAL SAMPLE; EXPRESSION PROFILING; FALSE DISCOVERY RATE; MYCOBACTERIUM TUBERCULOSIS; NORMALIZATION METHODS; Q-RT-PCR; QUANTITATIVE REAL-TIME POLYMERASE CHAIN REACTION;

POLYMERASE CHAIN REACTION;

ANTIBIOTIC AGENT; MESSENGER RNA; RNA;

ANTIBIOTIC THERAPY; ARTICLE; BACTERIAL LOAD; CONTROLLED STUDY; DILUTION; GENETIC ASSOCIATION; HOUSEKEEPING GENE; LIMIT OF DETECTION; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PRIORITY JOURNAL; REAL TIME POLYMERASE CHAIN REACTION; SIMULATION; SPUTUM; STABLE EXPRESSION; BACTERIAL GENOME; GENETICS; HUMAN; ISOLATION AND PURIFICATION; MICROBIOLOGY;

GENOME, BACTERIAL; HUMANS; MYCOBACTERIUM TUBERCULOSIS; REAL-TIME POLYMERASE CHAIN REACTION; RNA; SPUTUM;

EID: 84901260495     PISSN: 00032697     EISSN: 10960309     Source Type: Journal    
DOI: 10.1016/j.ab.2014.04.021     Document Type: Article

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