Predicting bacterial essential genes using only sequence composition information

Genetics and Molecular Research

Volumn 13, Issue 2, 2014, Pages 4564-4572

  Ning, L W ^a   Lin, H ^a   Ding, H ^a   Huang, J ^a   Rao, N ^a   Guo, F B ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Bacteria; Compositional features; Essential gene prediction; Library for support vector machine

Indexed keywords

ACINETOBACTER BAYLYI; ARTICLE; BACILLUS SUBTILIS; BACTERIAL GENE; BACTERIAL GENOME; BACTERIAL STRAIN; CODON; ESCHERICHIA COLI; ESSENTIAL GENE; FRANCISELLA NOVICIDA; GENE SEQUENCE; HAEMOPHILUS INFLUENZAE; HELICOBACTER PYLORI; HIGH THROUGHPUT SEQUENCING; MYCOBACTERIUM TUBERCULOSIS; MYCOPLASMA GENITALIUM; MYCOPLASMA PULMONIS; NONHUMAN; NUCLEOTIDE SEQUENCE; PROTEIN PROTEIN INTERACTION; PSEUDOMONAS AERUGINOSA; SALMONELLA ENTERICA; SALMONELLA TYPHIMURIUM; SEQUENCE ALIGNMENT; SHEWANELLA ONEIDENSIS; STAPHYLOCOCCUS AUREUS; STREPTOCOCCUS PNEUMONIAE; SUPPORT VECTOR MACHINE; VIBRIO CHOLERAE; BACTERIA; GENETIC DATABASE; GENETICS; MOLECULAR GENETICS; SEQUENCE ANALYSIS;

BACTERIAL PROTEIN;

BACTERIA; BACTERIAL PROTEINS; DATABASES, GENETIC; GENES, ESSENTIAL; GENOME, BACTERIAL; MOLECULAR SEQUENCE DATA; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84902449498     PISSN: None     EISSN: 16765680     Source Type: Journal    
DOI: 10.4238/2014.June.17.8     Document Type: Article

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