Biocomputational Immersive Learning

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dc.contributor.author Blakey, Ann
dc.contributor.author Bagga, Jay
dc.contributor.author Begum, Munni
dc.date.accessioned 2020-09-04T17:01:38Z
dc.date.available 2020-09-04T17:01:38Z
dc.date.issued 2008
dc.identifier.citation Blakey, A., Bagga, J., & Begum, M. (2008). Biocomputational Immersive Learning. Mathematics Exchange, 5(1), 33-41. en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/123456789/202335
dc.description Article published in Mathematics Exchange, 5(1), 2008. en_US
dc.description.abstract Biocomputational methods can broadly be viewed as information management systems at the interface of mathematics, statistics, computer science, and molecular biology/genetics. The main objective is to use the tools and methods from the disciplines of mathematics/statistics and computer science to turn vast, diverse, and complex life sciences data into useful knowledge. Biocomputational methods branch out to two major areas: bioinformatics and computational biology. These two terms are often used interchangeably but there is a fine line between them. Bioinformatics more closely addresses advancement of algorithmic and computational techniques based on computer science, mathematics and statistics to manage and analyze biological data efficiently. On the other hand, computational biology addresses hypothesis-driven investigation to a biological problem using computational, mathematical and statistical methods. en_US
dc.title Biocomputational Immersive Learning en_US
dc.type Article en_US


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