Predicting the effects of copy-number variation in double and triple mutant combinations

Pacific Symposium on Biocomputing

Volumn , Issue , 2012, Pages 19-30

  Carter, Gregory W ^a   Hays, Michelle ^b   Li, Song ^b   Galitski, Timothy ^b,c  

^a JACKSON LABORATORY   (United States)

^b INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^c MILLIPORE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING;

BIOLOGICAL NETWORKS; COPY NUMBER VARIATIONS; DELETION MUTATIONS; EXPRESSION PATTERNS; GENE EXPRESSION DATA; GENETIC INTERACTION; GENETIC VARIATION; LINEAR-DECOMPOSITION;

GENE EXPRESSION;

CIN5 PROTEIN, S CEREVISIAE; FUNGAL DNA; NUCLEAR PROTEIN; SACCHAROMYCES CEREVISIAE PROTEIN; TRANSCRIPTION FACTOR;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; COPY NUMBER VARIATION; FUNGAL GENE; GENE DELETION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; MUTATION; SACCHAROMYCES CEREVISIAE; STATISTICS;

COMPUTATIONAL BIOLOGY; DNA COPY NUMBER VARIATIONS; DNA, FUNGAL; GENE DELETION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENES, FUNGAL; MODELS, GENETIC; MUTATION; NUCLEAR PROTEINS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; TRANSCRIPTION FACTORS;

EID: 84868110697     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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