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2007

Wishart, D.S., Cruz, J.A.

Machine learning is a branch of artifi cial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is...

2005

Stothard, P., Van Domselaar, G., Cruz, J., Wishart, D.S., Shrivistava, S., Guo, A.C., O'Neill, B., Ellison, M.J.

BacMap is an interactive visual database containing fully labeled, zoomable and searchable chromosome maps from more than 170 bacterial (archaebacterial and eubacterial) species. It uses a recently developed visualization tool (CGView) to generate highresolution circular genome maps from sequence...

2005

Stothard, P., Lu, P., Cruz, J.A., Szafron, D., Van Domselaar, G.H., Shrivistava, S., Guo, A., Dong, X., Grenier, R., Wishart, D.S.

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...

2008

Wishart, D.S., Berjanskii, M., Arndt, D., Lin, G., Tang, P., Zhou, J.

CS23D (chemical shift to 3D structure) is a web server for rapidly generating accurate 3D protein structures using only assigned nuclear magnetic resonance (NMR) chemical shifts and sequence data as input. Unlike conventional NMR methods, CS23D requires no NOE and/or J-coupling data to perform...

2006

Hassanali, M., Stothard, P., Knox, C., Wishart, D.S., Shrivastava, S., Guo, A., Woolsey, J.

DrugBank is a unique bioinformatics/cheminformatics resource that combines detailed drug (i.e. chemical) data with comprehensive drug target (i.e. protein) information. The database contains .4100 drug entries including .800 FDA approved small molecule and biotech drugs as well as .3200...

2006

Berlyn, M.K., Plunkett, G., Wishart, D.S., Nori, H., Riley, M., Rudd, K.E., Glasner, J.D., Arnaud, M.B., Abe, T., Thomson, N.R., Wanner, B.L., Pernas, N.T., Blattner, F.R., Serres, M.H., Thomas, G.H., Horiuchi, T., Kosuge, T., Keseler, I.M., Chaudhuri, R.R.

The goal of this group project has been to coordinate and bring up-to-date information on all genes of Escherichia coli K-12. Annotation of the genome of an organism entails identification of genes, the boundaries of genes in terms of precise start and end sites, and description of the gene...

2009

Bassett, E., Wishart, D.S., Lu, P., MacDonnell, C., Berjanskii, M., Zhou, J., Liang, J., Zhou, Y., Cruz, J.A., Lin, G., Tang, P.

GeNMR (GEnerate NMR structures) is a web server for rapidly generating accurate 3D protein structures using sequence data, NOE-based distance restraints and/or NMR chemical shifts as input. GeNMR accepts distance restraints in XPLOR or CYANA format as well as chemical shift files in either SHIFTY...

2008

Seed, K.D., Lynch, K.H., Dennis, J.J., Goudie, A.D., Wishart, D.S., Shrivastava, S., Stothard, P.

Background: The Burkholderia cepacia complex (BCC) is a versatile group of Gram negative organisms that can be found throughout the environment in sources such as soil, water, and plants. While BCC bacteria can be involved in beneficial interactions with plants, they are also considered...

2009

Lewis, A., Wishart, D.S., Guo, A.C., Gautam, B., Tzur, D., Sobsey, C.A., Shaykhutdinov, R., Fradette, R., De Souza, A., Cruz, J.A., Xiong, Y., Bouatra, S., Mandal, R., Psychogios, N., Sinelnikov, I., Vogel, H.J., Fang, L., Peng, J., Xia, J., Li, L., Knox, C., Shrivastava, S., Clements, M., Lim, E., Eisner, R., Cheng, D., Dawe, M., Zuniga, A., Young, N., Jia, L., Grenier, R., Hau, D.D., Huang, P., Nazyrova, A., Liu, P., Forsythe, I., Dong, E., Clive, D.

The Human Metabolome Database (HMDB, http:// www.hmdb.ca (http://www.hmdb.ca)) is a richly annotated resource that is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community. Since its first...

2006

Gallin, W.J., Wishart, D.S., Montgomerie, S., Sundararaj, S.

Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve an accuracy (Q3) of about 75%. We believe this accuracy could be further improved by including structure (as opposed...