Genome Biology
Volume 8
Issue 5 |
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 MethodngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotesBrian R King1,2  and Chittibabu Guda2,3  1Department of Computer Science, State University of New York at Albany, Washington Ave, Albany, New York 12222, USA 2Gen*NY*sis Center for Excellence in Cancer Genomics, State University of New York at Albany, Discovery Drive, Rensselaer, New York 12144-3456, USA 3Department of Epidemiology and Biostatistics, State University of New York at Albany, Discovery Drive, Rensselaer, New York 12144-3456, USA  author email corresponding author email
Genome Biology 2007,
8:R68doi:10.1186/gb-2007-8-5-r68
Subject areas: Bioinformatics, Cell biology Abstract
We present a method called ngLOC, an n-gram-based Bayesian classifier that predicts the localization of a protein sequence over ten distinct subcellular organelles. A tenfold cross-validation result shows an accuracy of 89% for sequences localized to a single organelle, and 82% for those localized to multiple organelles. An enhanced version of ngLOC was developed to estimate the subcellular proteomes of eight eukaryotic organisms: yeast, nematode, fruitfly, mosquito, zebrafish, chicken, mouse, and human. | 
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