A comparison of signal sequence prediction methods using a test set of signal peptides

Bioinformatics

Volumn 16, Issue 8, 2000, Pages 741-742

  Menne, K M L ^a   Hermjakob, H ^a   Apweiler, R ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SECRETORY PROTEIN; SIGNAL PEPTIDE;

AMINO ACID SEQUENCE; ARTICLE; BACTERIOPHAGE; COMPUTER PROGRAM; CONTROLLED STUDY; METHODOLOGY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROTEIN DEGRADATION; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION; SYSTEM ANALYSIS; VIRUS;

UNIDENTIFIED BACTERIOPHAGE;

EID: 0033738137     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/16.8.741     Document Type: Article

References (8)

1. The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1998
2. On the predictive recognition of signal peptide sequences
3. Machine learning approaches for the prediction of signal peptides and other protein sorting signals
4. Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
5. Prediction of signal peptides and signal anchors by a hidden Markov model
6. A new method for predicting signal sequence cleavage sites