A framework to analyze multiple time series data: A case study with Streptomyces coelicolor

Journal of Industrial Microbiology and Biotechnology

Volumn 33, Issue 2, 2006, Pages 159-172

  Mehra, Sarika ^a   Lian, Wei ^a   Jayapal, Karithik P ^a   Charaniya, Salim P ^a   Sherman, David H ^b   Hu, Wei Shou ^a  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Antibiotics; DNA microarray; Streptomyces; Time Series; Transcriptome analysis

Indexed keywords

GENOMIC DNA; TRANSCRIPTOME;

BACTERIAL GENE; BACTERIAL GROWTH; BACTERIUM MUTANT; COMPARATIVE STUDY; CONFERENCE PAPER; CONTROLLED STUDY; DEVELOPMENTAL STAGE; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ANALYSIS; GENETIC TRANSCRIPTION; GENOME; KNOCKOUT GENE; MATHEMATICAL COMPUTING; METHODOLOGY; NONHUMAN; STREPTOMYCES COELICOLOR; TIME SERIES ANALYSIS; WILD TYPE;

ANTHRAQUINONES; ANTI-BACTERIAL AGENTS; BACTERIAL PROTEINS; CALCIUM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, BACTERIAL; IMAGE PROCESSING, COMPUTER-ASSISTED; MACROLIDES; MUTATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRODIGIOSIN; PROTEOME; STREPTOMYCES COELICOLOR; TIME FACTORS; TRANSCRIPTION, GENETIC;

BACTERIA (MICROORGANISMS); HARNESS; STREPTOMYCES; STREPTOMYCES COELICOLOR;

EID: 30844434821     PISSN: 13675435     EISSN: 14765535     Source Type: Journal    
DOI: 10.1007/s10295-005-0034-7     Document Type: Conference Paper

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