| Literature DB >> 12538263 |
Abstract
SUMMARY: Although the HMMER package is widely used to produce profile hidden Markov models (profile HMMs) for protein domains, it has been difficult to create a profile HMM for signal peptides. Here we describe an approach for building a complex model of eukaryotic signal peptides by the standard HMMER package. Signal peptide prediction with this model gives a 95.6% sensitivity and 95.7% specificity. AVAILABILITY: The profile HMM for signal peptides, data sets, and the scripts for analyzing data are available for non-commercial use at http://share.gene.com/.Mesh：
Substances：
Year: 2003 PMID： 12538263 DOI： 10.1093/bioinformatics/19.2.307
Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937