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ERIC Number: EJ898088
Record Type: Journal
Publication Date: 2010
Pages: 4
Abstractor: ERIC
Reference Count: 2
ISSN: ISSN-1931-7913
Math and Data Exploration
Liu, Dennis
CBE - Life Sciences Education, v9 n3 p150-153 Fall 2010
Biology is well suited for mathematical description, from the perfect geometry of viruses, to equations that describe the flux of ions across cellular membranes, to computationally intensive models for protein folding. For this short Web review, however, the author focuses on how mathematics helps biologists sort, evaluate, and draw conclusions about their data. Just as computer technology has revolutionized lab work, computers have revolutionized data analysis, in particular with a host of graphically driven methods for sorting, evaluating, and comparing data. The highly technical, often automated, and computationally driven biology of today makes it important to keep students aware of the importance of understanding the underlying mathematics. (Contains 6 figures.)
American Society for Cell Biology. 8120 Woodmont Avenue Suite 750, Bethesda, MD 20814-2762. Tel: 301-347-9300; Fax: 301-347-9310; e-mail:; Website:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A