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Phylogenetic Trees Made Easy: A How-To Manual, Second Edition (with CD-Rom)
 
 
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Phylogenetic Trees Made Easy: A How-To Manual, Second Edition (with CD-Rom) [Paperback]

Barry G. Hall (Author)
4.0 out of 5 stars  See all reviews (10 customer reviews)


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Phylogenetic Trees Made Easy: A How-to Manual, Third Edition Phylogenetic Trees Made Easy: A How-to Manual, Third Edition 4.0 out of 5 stars (10)
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Book Description

0878933123 978-0878933129 June 2004 2nd
Phylogenetic Trees Made Easy helps beginners get started in creating phylogenetic trees from protein or nucleic acid sequence data. Although aimed at molecular and cell biologists who may not be familiar with phylogenetic or evolutionary theory, it also serves students who may be familiar with phylogenetic theory but are unfamiliar with the tools used to apply that theory. The reader is led, step by step, through identifying sequences that are homologous to a sequence of interest, downloading these sequences from databases, creating multiple alignments and using several different methods to construct trees. Key changes to the Second Edition include: content and screen shots have been updated to reflect current software versions new "Advanced Topics" to extend understanding detailed discussion of PAUP as well as inclusion of PHYLIP as an alternative. Every copy of the Second Edition also includes a CD with current Windows and Macintosh beta versions of PAUP .

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About the Author

BARRY G. HALL, Emeritus, University of Rochester, USA.

Product Details

  • Paperback: 221 pages
  • Publisher: Sinauer Associates, Inc.; 2nd edition (June 2004)
  • Language: English
  • ISBN-10: 0878933123
  • ISBN-13: 978-0878933129
  • Product Dimensions: 9.2 x 6.9 x 0.5 inches
  • Shipping Weight: 13.6 ounces
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #755,752 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:
5.0 out of 5 stars Out of the abyss...this book saved xmas!, April 25, 2009
I was in desperate need to create some phylogenies of my data. After scouring the literature, I was supremely discouraged. However some above average to mediocre googling led me to this book and I quickly went to my institute of higher learning's library---unfortunately you won't find this in the average municipal library or books on wheels. This book lays out the steps very simple and plain, as well as the basic theory of how these algorithms work. It's pretty amazing work for a human that's just got into systemics in 1999.

Highly recommended!
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15 of 22 people found the following review helpful:
3.0 out of 5 stars Excellent but, October 3, 2007
By 
Sarakani (Harrow United Kingdom) - See all my reviews
This review is from: Phylogenetic Trees Made Easy: A How-To Manual, Second Edition (with CD-Rom) (Paperback)
Buy this if you must but there is a third edition. They complement each other to some extent but the third edition is more useful as it is more up to date and even slimmer and yet more powerful in that it totally obviates the need to pour over Paup. Here is a good treatment of Paup. Wonderful for beginners.

Review for the 3rd Edition (as Amazon only allow one review per set) - I now give it 5 stars and a title would be: Buy it, Do it ... or something similar.

Shortly after I got the second edition, I got the third. Within the covers of this slim volume is all the information you will need to generate the most elaborate hypotheses you may dare to venture on the basis of all the hard work you may have put into obtaining a data set of protein or DNA sequences.

The chapters are clearly laid out and this is a cook book - you can follow the instructions chapter by chapter using freely available software that it recommends. All the way from organizing your data, making an alignment and turning this into a simple tree, to computing genetic distances and finally producing trees by Baysian Inference or Maximum Likelihood.

Within certain relevant chapters are essays explaining the mathematical bases of tree building, models employed and the various kinds of trees and how they are built up - chapters on Trees, Neighbour Joining, Maximum Parsimony, Maximum Likelihood, Baysian Inference and there are downloadable programs that work fine as per the instructions like Fas2PhyNex which instantly transforms your Fasta file format into a Phylip and Nexus format. This book is a treasure trove of such packages and the simplest available descriptions of the sort of work you're up to at a level suitable for beginners and those with background (tells it to you straight without dumbing down). Those who go through your conclusions later may admire you for your profound understanding of the subject, on the basis of this book.

I feel the book could have tackled the following issues more clearly: 1. Establishing genetic distances for publications, uncorrected vs corrected - this book gives information on how to establish distances using the P distance model and the pairwise deletion option in MEGA - but I had to read further before realising it was sort of all there - but perhaps not emphasised enough (descriptions of new species frequently give uncorrected genetic distances at least). 2. Whether data from two different sequences for the same taxa should be combined to create a single data set for tree building, and when or when not to think about this (you can also make separate trees and combine them consensually). 3. What to do about gaps in the data - for example, I had several intact sequences of around 1kbp but a few were only 600bp - what problems would the shorter sequences cause? In the event, I had full and truncated data sets and trees for comparison. I found that having the odd short sequence was not too problematic - or at least, that's how it appeared.

This book is almost perfect, but it should be supplemented if you're a beginner (as with many books). I strongly recommend - Bioinformatics for Dummies. Using Bioinformatics, I realised that making alignments in T-coffee was better than using the MEGA multiple alignment system in terms of ironing out any errors that may be fiddly to correct by hand.

For information, whereas PHYML was superb for ML trees, I actually found that the ALRT bootstrap implementation just failed several times and went to use the traditional method. In a similar vein, I found the older versions of PHYML more effective that the latest, given sometimes the latest versions just did not deliver the goods.

I found that the author to be totally perspicacious and helpful and he has struggled so we don't have to. He has been wise to create such a slim volume - to paraphrase from the Seven Pillars of Wisdom by TE Lawrence - A Triumph. With a little supplementary reading (as this book recommends, do read the bits of the Mr Bayes Manual and take other pointers into account) the book is a gem - well worth the small cost and saving in Library space. I certainly look forward to future editions without begging for them as this book is so good.

Followed it fairly religiously and I will owe my upcoming award of a PhD in part to this helpful manual/friend.
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4.0 out of 5 stars A good resource, September 6, 2011
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Phylogenetic trees seem difficult to learn without some direction. This book provides direction in simple language. I've really only started with it, but it seems helpful.
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Inside This Book (learn more)
First Sentence:
This is a "cookbook" intended as a toll to aid beginners in creating phylogenetic trees from protein or nucleic acid sequence data. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
default menu setting, slanted cladogram, alignment pane, begin paup, taxon labels, midpoint rooting, output format options, alignment file, interleaved format, fasta file, conserved hypothetical protein, bootstrap tree, tree file, most likely tree, print trees, consensus tree, input file format, execution file, gap penalties, alignment window, unrooted trees, replacement mutations, ancestral sequences, branch lengths, bit score
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Compute Consensus, Define Outgroup, Rlignment Parameters, Describe Trees, Fine-Tuning Alignments, Monte Carlo, The School, Generate Trees, Llc Lld, Tree Scores Show Reconstructions, Agreement Subtrees, All Line, Compare Figure, Filter Trees Sort Trees Show Trees, Matrix Representation, Microsoft Word, Page Setup, Tree-to-Tree Distances, World Wide Web
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