Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.drudis.2009.04.001
DC FieldValue
dc.titleImmunoinformatics: Current trends and future directions
dc.contributor.authorTong, J.C.
dc.contributor.authorRen, E.C.
dc.date.accessioned2011-07-26T07:06:00Z
dc.date.available2011-07-26T07:06:00Z
dc.date.issued2009
dc.identifier.citationTong, J.C., Ren, E.C. (2009). Immunoinformatics: Current trends and future directions. Drug Discovery Today 14 (13-14) : 684-689. ScholarBank@NUS Repository. https://doi.org/10.1016/j.drudis.2009.04.001
dc.identifier.issn13596446
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/24887
dc.description.abstractImmunoinformatics has recently emerged as a critical field for accelerating immunology research. Although still an evolving process, computational models now play instrumental roles, not only in directing the selection of key experiments, but also in the formulation of new testable hypotheses through detailed analysis of complex immunologic data that could not be achieved using traditional approaches alone. Immunomics, which combines traditional immunology with computer science, mathematics, chemistry, biochemistry, genomics and proteomics for the large-scale analysis of immune system function, offers new opportunities for future bench-to-bedside research. In this article, we review the latest trends and future directions of the field. © 2009 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.drudis.2009.04.001
dc.sourceScopus
dc.typeReview
dc.contributor.departmentMICROBIOLOGY
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1016/j.drudis.2009.04.001
dc.description.sourcetitleDrug Discovery Today
dc.description.volume14
dc.description.issue13-14
dc.description.page684-689
dc.identifier.isiut000268205700008
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