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- 2Machine Learning
- 2Proteome Analyst
- 1Annotation
- 1BN classifiers
- 1Bayesian belief network
- 4Computing Science, Department of
- 4Computing Science, Department of/Technical Reports (Computing Science)
- 2Agricultural, Food and Nutritional Science, Department of
- 2Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
- 1Biological Sciences, Department of
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
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2005
Dong, Xaoli, Wishart, David S., Stothard, Paul, Greiner, Russ, Guo, AnChi, van Domselaar, Gary H., Szafron, Duane, Shrivastava, Savita, Cruz, Joseph A., Lu, Paul
BASys (Bacterial Annotation System) is a web server that supports automated, in-depth annotation of bacterial genomic (chromosomal and plasmid) sequences. It accepts raw DNA sequence data and an optional list of gene identification information and provides extensive textual annotation and...
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2004
Technical report TR04-22. Model selection problem in Bayesian belief network (BN) structure learning is a classicial problem in the BN literature. To do model selection in BN structure learning, we need a evaluation score and a searching procedure. The generative criteria, AIC, BIC and BDe, are...
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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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2007
Sawhney, Summit, Greiner, Russ, Querengesser, Lori, Shrivastava, Savita, Vogel, Hans J., Arndt, David, Macinnis, Glen D., Natalie, Zhang, Gavin E., Ying, Duggan, Tang, Peter, Amegbey, Godwin, Jewell, Kevin, Wagner, James, Clements, Tzur, Dan, Bamforth, Fiona, Young, Nelson, Miniaci, Jessica, Nikolai, Lisa, Eisner, Roman, Coutouly, Marie-Aude, Clive, Derrick, Li, Liang, Marrie, Tom, Block, David, Hau, David D., Cheng, Dean, Melisa, Gebremedhin, Stothard, Paul, Forsythe, Ian, Weljie, Alim M., Dowlatabadi, Reza, Wishart, David S., Sykes, Brian D., Fung, Chris, Knox, Craig, Jeroncic, Kevin, Mulu, Guo, Lewis, Mike, Guo, An Chi
The Human Metabolome Database (HMDB) is currently the most complete and comprehensive curated collection of human metabolite and human metabolism data in the world. It contains records for more than 2180 endogenous metabolites with information gathered from thousands of books, journal articles...
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PA-GOSUB: A searchable database of model organism protein sequences with their predicted GO molecular function and subcellular localization
Download2005
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...