Mining of genomic databases to identify novel biodesulfurizing microorganisms

Journal of Industrial Microbiology and Biotechnology

Volumn 37, Issue 4, 2010, Pages 425-429

  Bhatia, Sumedha ^a   Sharma, Durlubh K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Biodesulfurization; Fuel; Genomic databases; Mesophile; Thermophile

Indexed keywords

ARTICLE; AZOTOBACTER VINELANDII; BACTERIUM; BRADYRHIZOBIUM JAPONICUM; BREVIBACTERIUM LINENS; BURKHOLDERIA; BURKHOLDERIA CEPACIA; BURKHOLDERIA FUNGORUM; COMPUTER MODEL; DATA MINING; DESULFURIZATION; GENETIC DATABASE; GENUS; MAGNETOSPIRILLUM; MAGNETOSPIRILLUM MAGNETOTACTIUM; MESORHIZOBIUM; MESORHIZOBIUM LOTI; METHYLOBACILLUS; METHYLOBACILLUS FLAGELLATUS; MICROBIAL DEGRADATION; MICROBIAL IDENTIFICATION; NONHUMAN; NOVOSHINGOBIUM AROMATICIVORANS; NUCLEOTIDE SEQUENCE; OCEANOBACILLUS IHEYENSIS; RALSTONIA; RALSTONIA METALLIDURANS; RUBROBACTER XYLANOPHILUS; SCREENING; THERMOBIFIDA FUSCA; THERMOPHILIC BACTERIUM;

BACTERIA; DATA MINING; GENOMICS; METABOLIC NETWORKS AND PATHWAYS; SULFURIC ACID ESTERS; THIOPHENES;

BACTERIA (MICROORGANISMS);

EID: 77952242568     PISSN: 13675435     EISSN: 14765535     Source Type: Journal    
DOI: 10.1007/s10295-010-0697-6     Document Type: Article

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