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A search of MERLOT materialsCopyright 1997-2017 MERLOT. All rights reserved.Thu, 19 Jan 2017 14:22:52 PSTThu, 19 Jan 2017 14:22:52 PSTMERLOT Search - category=2513&userId=21029https://www.merlot.org/merlot/images/merlot.gif
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4434Dave's Math Tables
https://www.merlot.org/merlot/viewMaterial.htm?id=266201
Dave's Math Tables is an excellent mathematical resource. The mathematical reference tables include General Math, Algebra, Geometry, Odds and Ends, Trigonometry, Calculus, Statistics, and Advanced Topics. In addition, the site features an interactive area for posting and answering mathematical questions and a list of related Internet resources. This site is also available in Spanish, and an English-Spanish math dictionary is provided."Mon, 22 Feb 1999 00:00:00 -0800Dave's Math Tables
https://www.merlot.org/merlot/viewMaterial.htm?id=75275
Dave's Math Tables is an excellent mathematical resource. The mathematical reference tables include General Math, Algebra, Geometry, Odds and Ends, Trigonometry, Calculus, Statistics, and Advanced Topics. In addition, the site features an interactive area for posting and answering mathematical questions and a list of related Internet resources. This site is also available in Spanish, and an English-Spanish math dictionary is provided."Mon, 22 Feb 1999 00:00:00 -0800Mathematics and evolutionary biology make bioinformatics education comprehensible
https://www.merlot.org/merlot/viewMaterial.htm?id=901854
The patterns of variation within a molecular sequence data set result from the interplay between population genetic, molecular evolutionary and macroevolutionary processes—the standard purview of evolutionary biologists. Elucidating these patterns, particularly for large data sets, requires an understanding of the structure, assumptions and limitations of the algorithms used by bioinformatics software—the domain of mathematicians and computer scientists. As a result, bioinformatics often suffers a ‘two-culture’ problem because of the lack of broad overlapping expertise between these two groups. Collaboration among specialists in different fields has greatly mitigated this problem among active bioinformaticians. However, science education researchers report that much of bioinformatics education does little to bridge the cultural divide, the curriculum too focused on solving narrow problems (e.g. interpreting pre-built phylogenetic trees) rather than on exploring broader ones (e.g. exploring alternative phylogenetic strategies for different kinds of data sets). Herein, we present an introduction to the mathematics of tree enumeration, tree construction, split decomposition and sequence alignment. We also introduce off-line downloadable software tools developed by the BioQUEST Curriculum Consortium to help students learn how to interpret and critically evaluate the results of standard bioinformatics analyses.Fri, 17 Oct 2014 10:48:07 -0700