Evaluation of signal peptide prediction algorithms for identification of mycobacterial signal peptides using sequence data from proteomic methods

Microbiology

Volumn 155, Issue 7, 2009, Pages 2375-2383

  Leversen, Nils Anders ^a   de Souza, Gustavo A ^a   Målen, Hiwa ^a   Prasad, Swati ^a   Jonassen, Inge ^a   Wiker, Harald G ^a,b  

^a UNIVERSITY OF BERGEN   (Norway)

^b HAUKELAND UNIVERSITY HOSPITAL   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIAL PROTEIN; MYCOBACTERIUM PROTEIN; UNCLASSIFIED DRUG;

ALGORITHM; ARTICLE; CONTROLLED STUDY; HIDDEN MARKOV MODEL; MYCOBACTERIUM BOVIS; MYCOBACTERIUM LEPRAE; MYCOBACTERIUM MARINUM; MYCOBACTERIUM SMEGMATIS; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN CLEAVAGE; PROTEIN SECRETION; SCORING SYSTEM; SEQUENCE HOMOLOGY;

ALGORITHMS; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; MARKOV CHAINS; MODELS, MOLECULAR; MYCOBACTERIACEAE; NEURAL NETWORKS (COMPUTER); PROTEIN SORTING SIGNALS; PROTEOME; SECRETORY PATHWAY; SEQUENCE ANALYSIS, PROTEIN;

EUKARYOTA; MYCOBACTERIUM TUBERCULOSIS; NEGIBACTERIA; POSIBACTERIA;

EID: 69949116837     PISSN: 13500872     EISSN: None     Source Type: Journal    
DOI: 10.1099/mic.0.025270-0     Document Type: Article

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