Solving Genetic Problems

Solving Genetic Problems-23
No text is going to satisfy everyone in all details, but I found this one to be quite well done and of value to students who will use it as intended.In other words, students need to try working the problems on their own, and not just go straight to the answers as less disciplined students are wont to do.Topics range from segregation, basic probability, and the cell cycle to gene mapping, deducing metabolic pathways, translation, population genetics, and special aspects of human genetics.

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Genetic algorithms, introduced in 1960 by John Holland, extend Alan Turing’s concept of a “learning machine” and are best-suited for solving optimization problems such as the traveling salesman.

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But sometimes, such as in the pedigree problems, additional explanation would be helpful.

For example, in one pedigree problem the first question is ‘What is the probable mode of inheritance? The second question, ‘Are you positive about this conclusion? The third question asks why they are not certain they gave the right answer the first time, and the answer in the book is ‘Could also be sex-limited’.This discussion is a very good review or quick reference, but it is not expected to stand on its own as the sole explanation of the subject. This is followed by a series of problems and then the answers.The worked answers are generally brief, yet sufficient to show a student where they made an error.But they are nonetheless as important as the flashy headliners.Each chapter is introduced with a discussion of the topic and some hints to applying the principles in solving problems.To learn more or modify/prevent the use of cookies, see our Cookie Policy and Privacy Policy.Few subjects have the dual reputation among students of being both intriguing and scary. Students find the subject intriguing, because it offers the ability to explore and even explain some of the most fundamental aspects of an organism's makeup and biological history.And that is where the teacher comes back into the picture. Wiley Online Library requires cookies for authentication and use of other site features; therefore, cookies must be enabled to browse the site.By overlaying the guess and the solution (ones & zeros), we can visualize how well they match.The fitness of a chromosome can most simply be assessed by counting how many genes correctly match those in the genetic solution (green) and then dividing by the total number of genes (green & red). Even though there are only 17 occupied squares, any binomial distribution will approach a median accuracy of 50%.


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