Dr. Zhang\u2019s research focus has been in machine learning, data mining, and knowledge management in the biomedical and health care fields. Her major research interests include computational modeling of complex biological processes, such as the identification of vaccine targets, the development of a framework for rapid development of next-generation biological databases, the building of analytical tools for pattern recognition from biomedical data, and the design of diagnostic tools. She has authored more than thirty journal publications, developed more than twenty online computational systems, and filed two patents as co-inventor. Through the development of advanced computational solutions, she contributes to the rapid progress of basic and applied biology and bio-medicine. Zhang served as a research associate at Harvard Medical School, senior bioinformatics engineer at Dana-Farber Cancer Institute, and project leader and senior research engineer at the Institute for Infocomm Research (previous name: Kent Ridge Digital Lab), Singapore.<\/p>\n
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Journal Articles<\/strong><\/p>\n Olsen, L.R., Kudahl, U.J., Simon, C., Sun, J., Sch\u00f6nbach, C., Reinherz, E.L., Zhang, G.L., and Brusic, V. \u201cBlockLogo: Visualization of peptide and sequence motif conservation.\u201d\u00a0<\/span>Journal of immunological methods<\/i>\u00a0<\/span>400-401 (2013): 37-44.<\/p>\n Yamada, T., Muta, E., Kim, J., Azuma, K., Sugawara, S., Zhang, G.L., Matsueda, S., Yamashita, Y., Itoh, K., Hoshino, T., and Sasada, T. \u201cEGFR T790M Mutation as a Possible Target for Immunotherapy; Identification of HLA-A*0201-Restricted T Cell Epitopes Derived from the EGFR T790M Mutation.\u201d\u00a0<\/span>PLOS One<\/i>\u00a0<\/span>8, no. 11 (2013): e78389.<\/p>\n Riemer, A.B., Keskin, D.B., Zhang, G.L., Handley, M.I, Anderson, K.S., Brusic, V., Reinhold, B., and Reinherz, E.L. \u201cA conserved E7-derived CTL epitope expressed on human papillomavirus-16 transformed HLA-A2+ human epithelial cancers.\u201d\u00a0<\/span>Journal of Biological Chemistry<\/em>\u00a0<\/span>285, no. 38 (September 2010).<\/p>\n Lin, H.H., Zhang, G.L., Tongchusak, S., Reinherz, E.L., and Brusic, V. \u201cEvaluation of MHC-II peptide binding prediction servers: applications for vaccine research.\u201d\u00a0<\/span>BMC Bioinformatics<\/em>\u00a0<\/span>9, suppl 12 (December 2008): s22.<\/p>\n Khan, A.M., Miotto, O., Nascimento, E.J., Srinivasan, K.N., Heiny, A.T., Zhang, G.L., Marques, E.T., Tan, T.W., Brusic, V., Salmon, J., and August, J.T. \u201cConservation and variability of dengue virus proteins: implications for vaccine design.\u201d\u00a0<\/span>PLoS Neglected Tropical Diseases\u00a0<\/span><\/em>2, no. 8 (2008): e272.<\/p>\n Zhang, G.L., Khan, A.M., Srinivasan, K.N., Heiny, A.T., Lee, K.X., Kwoh, C.K., August, J.T., and Brusic, V. \u201cHotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.\u201d\u00a0<\/span>BMC Bioinformatics<\/em>9, suppl 1 (February 2008): S19.<\/p>\n Heiny, A.T., Miotto, O., Srinivasan, K.N., Khan, A.M., Zhang, G.L., Brusic, V., Tan, T.W., and August, J.T. \u201cEvolutionarily conserved protein sequences of influenza a viruses, avian and human, as vaccine targets.\u201d\u00a0<\/span>PLOS ONE<\/em>\u00a0<\/span>2, no. 11 (November 2007): e1190.<\/p>\n Zhang, G.L., Bozic, I., Kwoh, C.K., August, J.T., and Brusic, V. \u201cPrediction of Supertype-Specific HLA Class I Binding Peptides Using Support Vector Machines.\u201d\u00a0<\/span>Journal of Immunological Methods<\/em>\u00a0<\/span>320, no. 1-2 (March 2007): 143-154.<\/p>\n Chong, A., Zhang, Z., Choi, K.P., Choudhary, V., Djamgoz, M.B., Zhang, G.L., and Bajic,V.B.\u201dPromoter profiling and coexpression data analysis identifies 24 novel genes that are coregulated with AMPA receptor genes, GRIAs.\u201d\u00a0<\/span>Genomics<\/em>. 89, no. 3 (2007): 378-84.<\/p>\n Rajapakse, M., Zhang, G.L., Srinivasan, K.N., Schmidt, B., Petrovsky, N., and Brusic, V. \u201cPREDNOD, a prediction model for peptide binding to the H-2g7 haplotype of the non-obese diabetic mouse.\u201d\u00a0<\/span>Autoimmunity<\/em>\u00a0<\/span>39, no. 8 (2006): 645-50.<\/p>\n Zhang, Z.H., Koh, J.L.Y., Zhang, G.L., Choo, K.H., Tammi, M.T., and Tong, J.C. \u201cAllerTool: A Web Server for Predicting Allergenicity and Allergic Cross-Reactivity in Proteins.\u00a0<\/span>Bioinformatics<\/em>\u00a0<\/span>23, no. 4 (2006): 504-6.<\/p>\n Zhang, G.L., Petrovsky, N., Kwoh, C.K., August, J.T., and Brusic, V. \u201cPREDTAP: a system for prediction of peptide binding to the human transporter associated with antigen processing.\u00a0<\/span>Immunome Research\u00a0<\/span><\/em>2, no. 1 (2006): 3.<\/p>\n Cocquet, J., Chong, A., Zhang, G.L., and Veitia, R.A. \u201cReverse transcriptase template switching and false alternative transcripts.\u201d Genomics\u00a0<\/span><\/em>88, no. 1 (2006): 127-31.<\/p>\n Tong, J.C., Zhang, G.L., Tan, T.W., August, J.T., Brusic, V., and Ranganathan, S. Zhang, G.L., Khan, A.M., Srinivasan, K.N., August, J.T., and Brusic, V. \u201cNeural Models for Predicting Viral Vaccine Targets.\u201d\u00a0<\/span>Journal of Bioinformatics and Computational Biology<\/em>\u00a0<\/span>3, no. 5 (2005): 1207-1225.<\/p>\n Zhang, G.L., Khan, A.M., Srinivasan, K.N., August, J.T., and Brusic, V. \u201cMULTIPRED: a computational system for prediction of promiscuous HLA binding peptides.\u201d\u00a0<\/span>Nucleic Acids Research<\/em>\u00a0<\/span>33 (2005): W172-W179.<\/p>\n Zhang, G.L., Srinivasan, K.N., Veeramani, A., August, J.T., and Brusic, V. \u201cPREDBALB\/c: a system for prediction of peptide binding to the H2d molecules, a haplotype of the BALB\/c mouse.\u201d\u00a0<\/span>Nucleic Acids Research<\/em>\u00a0<\/span>33 (2005): W180-W183.<\/p>\n Srinivasan, K.N., Zhang, G.L., Khan, A.M., August, J.T. and Brusic, V. \u201cPredictions of Class I T-cell epitopes: Evidence of presence of immunological hot spots inside antigens.\u201d\u00a0<\/span>Bioinformatics\u00a0<\/span><\/em>20, suppl 1, (2004): i297-i302.<\/p>\n Chong, A.*, Zhang, G.L.* and Bajic, V.B. \u201cICE (Information for the Coordinates of Exons): A Human Splice Sites Database.\u201d\u00a0<\/span>Genomics<\/em>\u00a0<\/span>84 (2004): 762-766. (*These authors contributed equally to the work)<\/p>\n Chong, A., Zhang, G.L., and Bajic, V.B. \u201cFIE2: A program for the extraction of genomic DNA sequences around the start and translation initiation site of human genes.\u201d\u00a0<\/span>Nucleic Acids Research<\/em>\u00a0<\/span>31, no. 13 (2003): 3546-3553.<\/p>\n Chong, A., Zhang, G.L., and Bajic, V.B. \u201cInformation and Sequence Extraction around 5\u2032-end and Translation Initiation Site of Human Genes.\u201d In Silico Biology<\/em>\u00a0<\/span>2 (2002): 462-465.<\/p>\n Brusic, V., Petrovsky, N., Zhang, G.L., and Bajic, V.B. \u201cPrediction of promiscuous peptides that bind HLA class I molecules.\u201d\u00a0<\/span>Immunology and Cell Biology<\/em>\u00a0<\/span>80, no. 3 (2002): 280-285.<\/p>\n Bajic, V.B., Seah, S.H., Chong, A., Zhang, G.L., Koh, J.L.Y., and Brusic, V. \u201cDragon Promoter Finder: recognition of vertebrate RNA Polymerase II promoters.\u201d\u00a0<\/span>Bioinformatics<\/em>\u00a0<\/span>18, no. 1 (2002): 198-199.<\/p>\n Abeyratne, U.R., Zhang, G.L., and Saratchandran, P. \u201cEEG Source Localization: A Comparative Study of Classical and Neural Network Methods.\u201d\u00a0<\/span>International Journal of Neural Systems<\/em>\u00a0<\/span>11, no. 4 (2001): 349-359.<\/p>\n Tun, A.K., Lye, N.T., Zhang, G.L., Abeyratne, U.R., and Saratchandran, P. \u201cRBF networks for source localization in quantitative electrophysiology.\u201d\u00a0<\/span>Critical Reviews in Biomedical Engineering<\/em>\u00a0<\/span>28 (2000): 463-472.<\/p>\n Abstracts<\/strong><\/p>\n Finstad, S.L., Zhang, G.L., Linde, C., Muik, A., Hermann, F., Evans, V., de la Rosa, M, Zahn, R, Gaufin, T., Reimann, K., Apetrei, C., Miller, C., McCune, J., Picker, L., Veazey, R., Brusic, V., Letvin, N., and Schmitz,J. \u201cInfluence of FC Gamma-receptor polymorphisms on efficacy of antibody-mediated lymphocyte depletion in rhesus macaques.\u201d\u00a0<\/span>Journal of Medical Primatology<\/em>\u00a0<\/span>39, no. 4 (2010): 279 -280.<\/p>\n Biernacki, M., Alonso, A., Zhang, G.L., Zhang, L., Zhang, W.D., Tai, Y.T., Munshi, N., Alyea, E.P., Soiffer, R.J., Brusic, V., Ritz, J., Anderson, K.C., and Wu, C.J. \u201cDAPK2 and PIM1 Are Myeloma-Associated Antigens That Elicit Coordinated B and T Cell Immunity After Syngeneic HSCT.\u201d\u00a0<\/span>Blood\u00a0<\/span><\/em>(ASH Annual Meeting Abstracts) 114, no. 22 (2009): 2445.<\/p>\n Biernacki, M., Zhang, G.L., Zhang, W.D., Brusic, V., Soiffer, R.J., Neuberg, D., Alyea, E.P., Tai, Y.T., Munshi, N.C., Ritz, J., Anderson, K.C., and Wu, C.J. \u201cNovel Myeloma-Associated Antigens Revealed in the Context of Successful Syngeneic Hematopoietic Stem Cell Transplantation.\u201d\u00a0<\/span>Blood<\/em>\u00a0<\/span>(ASH Annual Meeting Abstracts) 112, no. 11 (2008): 815.<\/p>\n Book Chapters<\/strong><\/p>\n Handoko, S.D., Kwoh, C.K., Ong, Y.S., Zhang, G.L., and Brusic, V. \u201cExtreme Learning Machine for Predicting HLA-Peptide Binding.\u201d\u00a0<\/span>Lecture Notes in Computer Science<\/em>\u00a0<\/span>3973, Springer (2006): 716-721.<\/p>\n Bozic, I., Zhang, G.L., and Brusic, V. \u201cPredictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers.\u201d\u00a0<\/span>Lecture Notes in Computer Science<\/em>\u00a0<\/span>3578, Springer (2005): 375-381.<\/p>\n Zhang, G.L. Abeyratne, U.R., and Lee, T.H. \u201cA Systematic Comparison of Classical and Neural Network Techniques in EEG Source Localization.\u201d\u00a0<\/span>Computer Methods in Biomechanics and Biomedical Engineering-3<\/em>, edited by Middleton, J., Jones, M.L., and Pande, G.N. Gordon & Breach Science Publishers, Amsterdam, Netherlands (2000).<\/p>\n Conference Articles<\/strong><\/p>\n Long, J., Zhang, Y., Brusic, V., Chitkushev, L., Zhang, G.L. \u201cAntidote Application: an educational system for treatment of common toxin overdose.\u201d ACM-BCB, Boston, Mass., August 20\u201323, 2017. Presented by Jon Long.<\/span><\/p>\n Zhang, P., Chitkushev, L., Brusic, V., and Zhang, G.L. \u201cBiomarkers in immunology: from concepts to application.\u201d In\u00a0<\/span>Proc. International Conference on Bioinformatics, Computational Biology and Biomedical Informatics<\/i>\u00a0<\/span>(ACM-BCB).<\/i>\u00a0<\/span>Washington, D.C., September 22-25, 2013.<\/p>\n Sun, J., Zhang, G.L., Olsen, L.R., Reinherz, E.L., and Brusic, V.<\/i>\u00a0<\/span>\u201c<\/i>Landscape of neutralizing assessment of monoclonal antibodies against dengue virus.\u201d In\u00a0<\/span>Proc. International Conference on Bioinformatics, Computational Biology and Biomedical Informatics<\/i>\u00a0<\/span>(ACM-BCB).<\/i>\u00a0<\/span>Washington, D.C., September 22-25, 2013.<\/p>\n Zhang, G.L., Riemer, A., Keskin, D.B., Chitkushev, L., Reinherz, E.L., and Brusic,V.<\/i>\u00a0<\/span>\u201c<\/i>HPVdb: Data Source and Analysis Platform for T-cell based Vaccine Target Discovery in Human Papillomavirus.\u201d In<\/i>\u00a0<\/span>Proc. International Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM-BCB)<\/em>. Washington, D.C., September 22-25, 2013.<\/p>\n Chitkushev, L., Dilek, E., Lee J. W., Zhang, G. L., and Zlateva, T. \u201cData Cleaning of Probe Signals from CDNA Tiling Microarray: Outlier Detection, Noise Reduction, and Identification of Uninformative Probes in HLA Typing Application.\u201d Proc. of Bioinformatics and Biomedicine Workshops on Informatics Applications in Therapeutics (Atlanta, Ga., 2011): 682.<\/p>\n Brusic, V., Chitkushev, L., Kalathur, S., Zhang, G. L., and Zlateva, T. \u201cVisualization Tools for Presenting and Analysis of Global Landscapes of Vaccine Targets.\u201d Proc. Bioinformatics and Biomedicine Workshops on Informatics Applications in Therapeutics (Atlanta, Ga., 2011): 683\u201388.<\/p>\n Chitkushev, L., Zlateva, T., DeLuca, D., Zhang, G.L., and Brusic, V. \u201cIntegrated health informatics curricula within information technology programs.\u201d In\u00a0<\/span>Proceedings of 6th Annual International Conference on Computer Science and Education in Computer Science<\/em>. Munich, Germany (2010): 204\u2010216.<\/p>\n Zhang, G.L., Tong, J.C., Zhang, Z.H., Zheng, Y., August ,J.T., Kwoh, C.K., and Brusic, V. \u201cComputational models for identifying promiscuous HLA-B7 binders based on information theory and support vector machine.\u201d International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 2006.<\/p>\n Zhang, G.L., Kwoh, C.K., August, J.T., and Brusic, V. \u201cPerformance Evaluation of MULTIPRED1 on Prediction of MHC Class I Binders.\u201d International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 2006.<\/p>\n Bajic, V.B., Koh, J.L.Y., Chong, A., Seah, S.H., Zhang, G.L., and Brusic, V. \u201cDragon Promoter Finder ver. 1.2e: A system for promoter finding and analysis.\u201d BioMedical 2001, Singapore, Book of Abstracts (2001): 19-21.<\/p>\n Zhang, G.L., Abeyratne, U.R., and Saratchandra, P. \u201cComparing RBF & BPN Neural Networks in Dipole Localization.\u201d In\u00a0<\/span>Proceedings of The First Joint BMES\/EMES Conference Serving Humanity, Advancing Technology<\/em>. Atlanta, Ga. (October 13-16, 1999): 939.<\/p>\n Adnan, S.M., Abeyratne, U.R., and Zhang, G.L. \u201cPosition selective stimulation of a multifascicular nerve.\u201d In\u00a0<\/span>Proceedings of The First Joint BMES\/EMES Conference Serving Humanity, Advancing Technology<\/em>. Atlanta, Ga. (October 13-16, 1999): 480.<\/p>\n Posters<\/strong><\/p>\n Zhang, G.L., Khan, A.M., and Brusic, V. \u201cFighting Against Dengue: Computer-Aided Vaccine Design.\u201d Inaugural SERC Inter-RI PosterSymposium, September 19, 2005.<\/p>\n Zhang, G.L., Bozic, I., Kwoh, C.K., and Brusic, V. \u201cMULTIPRED: a computational system for prediction of promiscuous HLA class I binders.\u201d 2nd International Immunoinformatics Symposium and Immunoinformatics workshop (IIMMS2005). Boston, Mass., March 7-9, 2005.<\/p>\n Khan, A.M., Zhang, G.L., Srinivasan, K.N., August, J.T., Tan, T.W., and Brusic, V. \u201cAnalysis of antigenic hot-spots in dengue virus: A bioinformatics approach.\u201d 1st Asian Regional Dengue Research Network Meeting. Bangkok, Thailand, October 18-20, 2004.<\/p>\n Zhang, G.L., Kwoh, C.K., and Brusic, V. \u201cMULTIPRED: a computational system for prediction of promiscuous HLA class I binders.\u201d 8th NUS-NUH Annual Scientific Meeting. NUS, Singapore, October 7, 2004.<\/p>\n Chong, A., Zhang, G.L., and Bajic, V.B. \u201cFIE: Sequence information extraction around the 5\u2032-end of human genes.\u201d Bioinformatics and Genome Research Conference, San Diego, Calif., June 2-7, 2002.<\/p>\n Bajic, V.B., Koh, J.L.Y., Chong, A., Seah, S.H., Zhang, G.L., and Brusic, V. \u201cDragon Promoter Finder ver. 1.2e: A system for promoter finding and analysis.\u201d BioMedical 2001, Singapore.<\/p>\n Bioinformatics Systems Developed<\/strong><\/p>\n SprPred: a system for large-scale screening of allele-, genotype-, and supertype-specific HLA associated peptides.<\/p>\n Tumor T-cell Antigen Database: A data source and analysis platform for cancer vaccine target discovery focusing on human tumor antigens that contain HLA ligands and T cell epitopes.<\/p>\n Flavivirus Antigen Database: A data source and analysis platform for flavivirus immune target discovery by focusing on antigens that contain cross protective T cell and B cell epitopes.<\/p>\n Influenza A Virus Antigen Database: A data source and analysis platform for Influenza A virus immune target discovery by focusing on antigens that contain cross protective T cell and B cell epitopes.<\/p>\n FcgR Rhesus Gene Database: A data source to support the analysis of the effect of Fc\u03b3-receptor polymorphisms in rhesus macaques on monoclonal antibody-mediated lymphocyte depletion and SIVmac251setpoint viremia.<\/p>\n Epstein-Barr virus T cell Antigen Database: A data source and analysis platform for EBV immune target discovery by focusing on EBV antigens that contain HLA ligands and T cell epitopes.<\/p>\n Human Papillomavirus T cell Antigen Database: A data source and analysis platform for HPV immune target discovery by focusing on HPV antigens that contain HLA ligands and T cell epitopes.<\/p>\n PREDmafa: A computational system for in silico identification of peptides binding to MHC alleles of cynomolgus macaques<\/p>\n ConeSnail Database: It facilitates the management of an ever-expanding conopeptides of marine cone snail venoms and represents a bioinformatics approach to this field, to further the development of conopeptides in human therapeutic applications.<\/p>\n MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides<\/p>\n MULTIPRED version 1: a computational system for prediction of promiscuous HLA binding peptides<\/p>\n PREDBALB\/c: a system for prediction of peptide binding to the H2d molecules, a haplotype of the BALB\/c mouse<\/p>\n Hotspot Hunter: A computational system for prediction and analysis of T-cell epitope hotspots<\/p>\n PREDTAP: A computational system that predicts peptides binding to the Transporters associated with Antigen Processing (TAP).<\/p>\n PREDNOD: A system that predicts peptides binding to major histocompatibility complex haplotype (H2-Ag7,H2-Db,H2-Kd) of the non-obese diabetic (NOD) mouse \u2013 an animal model for insulin-dependent diabetes mellitus (IDDM).<\/p>\n 5\u2032-end Information Extraction (FIE): A system for the extraction of genomic DNA sequences around the start and translation initiation site of human genes<\/p>\n ICE (Information for the Coordinates of Exons): A Human Splice Sites Database<\/p>\n Invited Talks<\/strong><\/p>\n \u201cPrediction of promiscuous peptides that bind HLA class I molecules.\u201d 1st Saudi Arabia Bioinformatics Workshop, Riyadh, Saudi Arabia, February 2006.<\/p>\n \u201cPrediction of promiscuous peptides that bind HLA class I molecules.\u201d Pre-8th FAOBMB Symposium Satellite Workshop on Bioinformatics, Lahore, Pakistan, November 2005.<\/p>\n Oral Presentations and Demos<\/strong><\/p>\n \u201cMULTIPRED: a computational system for prediction of promiscuous HLA class I binders.\u201d 3rd Asia-Pacific Bioinformatics Conference (APBC2005) Graduate Student Satellite Symposium. NTU, Singapore, January 2005.<\/p>\n Software Demo on MULTIPRED. 3rd Asia-Pacific Bioinformatics Conference (APBC2005), Singapore, January 2005.<\/p>\n \u201cPrediction of class I T-cell epitopes: evidence of presence of immunological hot spots inside antigens. \u201c12th International Conference on Intelligent Systems for Molecular Biology, with the European Conference on Computational Biology (ISMB\/ECCB2004). Glasgow, Scotland, August 2004.<\/p>\n \u201cPredictive Modeling of Viral T cell Epitopes.\u201d Singapore Immunoinformatics Symposium: From Databases to Vaccines, March 1, 2004.<\/p>\n \u201cNeural models for predicting viral vaccine targets.\u201d Conference on Neuro-Computing and Evolving Intelligence 2003 (NCEI 2003). Auckland, New Zealand, November 2003.<\/p>\n Grants<\/strong><\/p>\n \u201cDevelopment of Next-Generation Immunogenicity Prediction Tools.\u201d Pfizer, $150,000. Vladimir Brusic (Principal Investigator) and Guanglan Zhang (Co-Investigator)<\/p>\n <\/div>\n<\/div>\n\n What advice do you have for new students?<\/strong><\/p>\n “For students who want to enter into health informatics, I congratulate them. It\u2019s a relatively new field, so there are very good career prospects for the future.”<\/em><\/p><\/blockquote>\n","protected":false},"author":13337,"template":"","_links":{"self":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/12903"}],"collection":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile"}],"about":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/types\/profile"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/users\/13337"}],"version-history":[{"count":18,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/12903\/revisions"}],"predecessor-version":[{"id":30040,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/12903\/revisions\/30040"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/media?parent=12903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\u201cPrediction of HLA-DQ3.2\u03b2 Ligands: evidence of multiple registers in class II binding peptides.\u201d\u00a0<\/span>Bioinformatics<\/em>\u00a0<\/span>22 (2006): 1232-1238.<\/p>\n
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