| Systems biology--biomedical modeling. | |
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MedLine Citation:
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PMID: 21917716 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Because of the complexity inherent in biological systems, many researchers frequently rely on a combination of global analysis and computational approaches to gain insight into both (i) how interacting components can produce complex system behaviors, and (ii) how changes in conditions may alter these behaviors. Because the biological details of a particular system are generally not taught along with the quantitative approaches that enable hypothesis generation and analysis of the system, we developed a course at Mount Sinai School of Medicine that introduces first-year graduate students to these computational principles and approaches. We anticipate that such approaches will apply throughout the biomedical sciences and that courses such as the one described here will become a core requirement of many graduate programs in the biological and biomedical sciences. |
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Authors:
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Eric A Sobie; Young-Seon Lee; Sherry L Jenkins; Ravi Iyengar |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Review Date: 2011-09-06 |
Journal Detail:
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Title: Science signaling Volume: 4 ISSN: 1937-9145 ISO Abbreviation: Sci Signal Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-09-15 Completed Date: 2012-01-10 Revised Date: 2012-05-02 |
Medline Journal Info:
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Nlm Unique ID: 101465400 Medline TA: Sci Signal Country: United States |
Other Details:
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Languages: eng Pagination: tr2 Citation Subset: IM |
Affiliation:
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Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA. eric.sobie@mssm.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Humans Models, Biological* Systems Biology / education*, methods*, trends* |
| Grant Support | |
ID/Acronym/Agency:
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P50 GM071558/GM/NIGMS NIH HHS; P50 GM071558-05/GM/NIGMS NIH HHS; R01 GM054508-20/GM/NIGMS NIH HHS; T32 GM062754-12/GM/NIGMS NIH HHS; T32GM062754/GM/NIGMS NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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