A comprehensive assessment of N-terminal signal peptides prediction methods

BMC Bioinformatics

Volumn 10, Issue SUPPL. 15, 2009, Pages

  Choo, Khar H ^a,b   Tan, Tin W ^b   Ranganathan, Shoba ^b,c  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c MACQUARIE UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIA; BENCHMARKING; DEEP NEURAL NETWORKS; FORECASTING; GENE ENCODING; PEPTIDES; SOFTWARE RELIABILITY; DATA PROCESSING; PROTEINS;

COMPREHENSIVE ASSESSMENT; FUNCTIONAL ANNOTATION; GRAM-NEGATIVE BACTERIA; OVERALL ACCURACIES; PERFORMANCE AND RELIABILITIES; PREDICTION METHODS; SUBCELLULAR COMPARTMENTS; SUBCELLULAR LOCALIZATIONS; CLEAVAGE SITES; DATA SETS; EXPLOSIVE GROWTH; KEY FEATURE; N-TERMINALS; PERFORMANCE GAPS; PREDICTION TASKS; PREDICTION TOOLS; PROTEIN SEQUENCES; SCORING SCHEMES; SIGNAL PEPTIDE;

PROTEINS; BIOINFORMATICS;

SIGNAL PEPTIDE; PROTEIN;

ACCURACY; AMINO TERMINAL SEQUENCE; ARTICLE; AUTOMATION; CELLULAR DISTRIBUTION; COMPUTER PROGRAM; CONTROLLED STUDY; EUKARYOTE; GRAM NEGATIVE BACTERIUM; GRAM POSITIVE BACTERIUM; INTERMETHOD COMPARISON; INTERNAL CONSISTENCY; NONHUMAN; PREDICTION; PROTEIN CLEAVAGE; SENSITIVITY AND SPECIFICITY; BIOLOGY; CHEMISTRY; GENETICS; METHODOLOGY; PROTEIN DATABASE; SEQUENCE ANALYSIS;

EUKARYOTA; NEGIBACTERIA; POSIBACTERIA;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; PROTEIN SORTING SIGNALS; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 71549149451     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S15-S2     Document Type: Article

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