A Computational Framework for Analyzing Stochasticity in Gene Expression

PLoS Computational Biology

Volumn 10, Issue 5, 2014, Pages

  Sherman, Marc S ^a,b   Cohen, Barak A ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIODEGRADATION; CELL CULTURE; CELL PROLIFERATION; PROTEINS; STOCHASTIC SYSTEMS; TRANSCRIPTION;

CELL POPULATIONS; COMPUTATIONAL FRAMEWORK; GENES EXPRESSION; MOLECULAR MECHANISM; PROTEIN DISTRIBUTIONS; PROTEIN EXPRESSIONS; PROTEIN LEVEL; STOCHASTIC FLUCTUATION; STOCHASTICITY; THEORETICAL MODELING;

RATE CONSTANTS;

ARTICLE; BIOCHEMISTRY; CONCEPTUAL FRAMEWORK; GENE EXPRESSION; GENETIC TRANSCRIPTION; MATHEMATICAL ANALYSIS; MOLECULAR DYNAMICS; PROTEIN DEGRADATION; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; PROTEIN MODIFICATION; RNA TRANSLATION; STATISTICS; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENETICS; HUMAN; PROTEIN SYNTHESIS; STATISTICAL MODEL;

PROTEOME;

ANIMALS; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; PROTEIN BIOSYNTHESIS; PROTEOME; STOCHASTIC PROCESSES; TRANSCRIPTION, GENETIC;

EID: 84901650126     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003596     Document Type: Article

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