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#371 | |
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#372 | |
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#373 |
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Precision is always important in scientific measurements. Phylogenetics is done by using scientific measurements. ERGO precision is important in phlyogenetics!
In fact, each branch on a phylogenetic tree is associated with a number. I can't exactly remember what that number is in reference to - something about probabilities. scigirl |
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#374 |
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Wouldn't it be something to to with the % amount of genetic devition/similarity? I am not sure what probability would have to do with phylogeny. Could you expound?
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#375 | |
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I am not at home at the moment so I can't reference, but the question is would that be good enough? If you will not accept this from biology textbooks then what do you need? |
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#376 | |
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Such probabilistic methods are needed because the number of possible trees increases factorially with the number of species to be classified. For n species, the number of possible trees is 1*3*5*...*(2n-5) -- which increases VERY rapidly as n increases. And probabilistic methods are a good way of sampling the space of possible trees. [ September 19, 2002: Message edited by: lpetrich ]</p> |
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#377 |
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I have never heard of this method. Do you know where I can find more information?
I had always thought that trees were built straight from the molecular data. |
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#378 |
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vander, precision/accuracy is very much taken into consideration when phylogenetic trees are constructed, perhaps the most common method of evaluating this is a method called bootstrapping, which gives a good indication of the accuracy of nodes on phylgenetic trees
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#379 |
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didymus, you could download the documentation for phylip - it explains most of the methods used to create phylogenetic trees
<a href="http://evolution.genetics.washington.edu/phylip.html" target="_blank">http://evolution.genetics.washington.edu/phylip.html</a> |
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#380 | |
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<strong> I challenge anyone here to demonstrate even a remote comparison between the measurement of G and the "accuracy" or "precision" of phylogenetic trees. </strong> Sure. The "precision" of a phylogenetic tree is the probability that a tree for a group of species better represents the observed genetic data than a tree picked at random. This probability varies, of course, depending upon the number of parameters chosen and the variance observed(*). The parameters are segments of DNA sequences. The "true" tree is a constant whose value we attempt to estimate, just like G. (*In other words, a tree based upon one short sequence would be less accurate than a tree based on several sequences, and a tree based on a sequence that varies is more accurate than one based on a sequence that is the same for all creatures.) If you are really interested in understanding this, <a href="http://statgen.iop.kcl.ac.uk/bgim/mle/sslike_1.html" target="_blank">here</a>is a website with a fairly good (but technical) intro to the statistical methods that seem to be commonly used in statistical genetics. (Yes, a whole new field of study for you to doubt ![]() HW (Corrections and general whomping from genetic statisticans gratefully accepted. I have a very rusty background in statistics for social sciences...) |
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