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2003
Greiner, Russ, Poulin, B., Lu, Paul, Anvik, J., Lu, Z., Macdonell, Cam, Wishart, David, Eisner, Roman, Szafron, Duane
Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a...
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PA-GOSUB: A searchable database of model organism protein sequences with their predicted GO molecular function and subcellular localization
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Poulin, B., Lu, P., Wishart, D.S., Szafron, D., Lamb, N., Eisner, R., Pearcy, B., Ngo, D., Fyshe, A., Grenier, R.
PA-GOSUB (Proteome Analyst: Gene Ontology Molecular Function and Subcellular Localization) is a publicly available, web-based, searchable and downloadable database that contains the sequences, predicted GO molecular functions and predicted subcellular localizations of more than 107 000 proteins...
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2003
Greiner, Russell, Wishart, David, Eisner, Roman, Lu, Z., Lu, Paul, Macdonell, Cam, Poulin, B., Szafron, Duane, Anvik, J.
Technical report TR03-14. Identifying the destination or localization of proteins is key to understanding their function and facilitating their purification. A number of existing computational prediction methods are based on sequence analysis. However, these methods are limited in scope, accuracy...
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Proteome Analyst - Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors
Download2003
Lu, Z., Eisner, Roman, Lu, Paul, Macdonell, Cam, Szafron, Duane, Greiner, Russell, Poulin, B., Wishart, David, Anvik, J., Habibi-Nazhad, B.
Technical report TR03-05. Modern sequencing technology now permits the sequencing of entire genomes, leading to thousands of new gene sequences in need of detailed annotation. It is too time consuming to predict the properties of each protein sequence manually and to organize the results of many...