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Proceedings of the National Academy of Sciences of the United States of America

Volumn 103, Issue 37, 2006, Pages 13629-13634

Accurately quantifying low-abundant targets amid similar sequences by revealing hidden correlations in oligonucleotide microarray data

(10) Marcelino, Luisa A a Backman, Vadim b Donaldson, Andres a Steadman, Claudia a Thompson, Janelle R a,d Preheim, Sarah Pacocha a Lien, Cynthia a Lim, Eelin c Veneziano, Daniele a Polz, Martin F a

a Massachusetts Institute of Technology Cambridge (United States)

b Northwestern University (United States)

c Temple University (United States)

d HARVARD MEDICAL SCHOOL (United States)

Author keywords

Cross hybridization; Free energy; Microbial ecology; Optimization algorithm; rRNA

Indexed keywords

BACTERIAL RNA; OLIGONUCLEOTIDE; RIBOSOME RNA;

ACCURACY; ALGORITHM; ARTICLE; BACTERIUM IDENTIFICATION; CORRELATION ANALYSIS; CROSS HYBRIDIZATION; DNA PROBE; ENERGY; MICROARRAY ANALYSIS; NOISE; NONHUMAN; NUCLEOTIDE SEQUENCE; OLIGONUCLEOTIDE MICROARRAY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; RNA SEQUENCE; SEASHORE; SEQUENCE HOMOLOGY; SIGNAL DETECTION; VIBRIO; WATER SAMPLING;

OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; RNA, RIBOSOMAL; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, RNA; VIBRIO;

VIBRIO;

EID: 33748765554 PISSN: 00278424 EISSN: None Source Type: Journal
DOI: 10.1073/pnas.0601476103 Document Type: Article

Times cited : (28)

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