ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes1Department 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
Genome Biology 2007, 8:R68doi:10.1186/gb-2007-8-5-r68
Subject areas: Bioinformatics, Cell biology Additional filesAdditional data file 1: Provided are all of the formulas used for performance measurements and Supplementary Tables 1-21. Format: DOC Size: 528KB Download file This file can be viewed with: Microsoft Word Viewer Additional data file 2: Provided is the actual ngLOC dataset. It is a FASTA formatted file. The header format for each sequence is > SP_name loc [/loc2], where SP_name is the Swiss-Prot name of the protein sequence, from release 50.0, loc is a single letter representing subcellular localization for this sequence, and/loc2 is an optional field that exists only if the sequence is multi-localized. The letter codes for subcellular localization are as follows: C (CYT), cytoplasm; K (CSK), cytoskeleton[E (END), endoplasmic reticulum; S (EXC), extracellular/secreted; G (GOL), Golgi; L (LYS), lysosome; M (MIT), mitochondria; N (NUC), nucleus; P (PLA), plasma membrane; X (POX), perixosome. Format: TXT Size: 25.8MB Download file |


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