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dc.contributor.authorBurge, Christopheren_US
dc.contributor.authorYaffe, Michaelen_US
dc.contributor.authorWoolf, Peteren_US
dc.contributor.authorKeating, Amyen_US
dc.coverage.temporalSpring 2004en_US
dc.date.issued2004-06
dc.identifier7.91J-Spring2004
dc.identifierlocal: 7.91J
dc.identifierlocal: 7.36J
dc.identifierlocal: 20.490J
dc.identifierlocal: IMSCP-MD5-68e80b38fdd46d8fa4b678beb0729a46
dc.identifier.urihttp://hdl.handle.net/1721.1/96935
dc.description.abstractServing as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.en_US
dc.languageen-USen_US
dc.relationen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2015. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.rights.uriUsage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unporteden_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.subjectcomputational biologyen_US
dc.subjectsystems biologyen_US
dc.subjectbioinformaticsen_US
dc.subjectsequence analysisen_US
dc.subjectproteomicsen_US
dc.subjectsequence alignmenten_US
dc.subjectprotein foldingen_US
dc.subjectstructure predictionen_US
dc.subjectnetwork modelingen_US
dc.subjectphylogeneticsen_US
dc.subjectpairwise sequence comparisonsen_US
dc.subjectncbien_US
dc.subjectblasten_US
dc.subjectprotein structureen_US
dc.subjectdynamic programmingen_US
dc.subjectgenome sequencingen_US
dc.subjectDNAen_US
dc.subjectRNAen_US
dc.subjectx-ray crystallographyen_US
dc.subjectNMRen_US
dc.subjecthomologsen_US
dc.subjectab initio structure predictionen_US
dc.subjectDNA microarraysen_US
dc.subjectclusteringen_US
dc.subjectproteomeen_US
dc.subjectcomputational annotationen_US
dc.subject7.91Jen_US
dc.subject7.36Jen_US
dc.subjectBE.490Jen_US
dc.subject7.91en_US
dc.subject7.36en_US
dc.subjectBE.490en_US
dc.subject20.490en_US
dc.subject20.490Jen_US
dc.title7.91J / 7.36J / 20.490J Foundations of Computational and Systems Biology, Spring 2004en_US
dc.title.alternativeFoundations of Computational and Systems Biologyen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering


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