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A Primer of Genome Science, Third Edition, by Gibson, Muse
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Genome science has matured as a discipline to the point where it is now incorporated as a regular part of the genetics curriculum in universities. A Primer of Genome Science, Third Edition bridges the gap between standard genetics textbooks and highly specialized, technical, and advanced treatments of the subdisciplines. It provides an affordable and up-to-date introduction to the field that is suited to advanced undergraduate or early graduate courses. Bioinformatic principles and experimental strategies are explained side-by-side with the experimental methods, establishing a framework that allows teachers to explore topics and the literature at their own pace. The Primer is organized into six chapters dealing with the scope of genomics, genome sequencing, variation and complex traits, gene expression, proteomics, and metabolomics. Each chapter includes several boxes explaining the theory behind bioinformatic methods, discussion questions, and a summary. This edition has been updated to include the latest developments in next-generation sequencing, high-volume genotyping and expression profiling, and advances in metabolomics.
- Sales Rank: #562939 in Books
- Brand: Brand: Sinauer Associates, Inc
- Published on: 2009-01-01
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 7.00" w x .75" l, 1.10 pounds
- Binding: Paperback
- 370 pages
Features
- Used Book in Good Condition
Review
In realizing that the field is unlikely to slow down any time soon, by simply demonstrating that they can keep pace with it, the authors have again succeeded with a well-organized view of the present and future of genome science. --Brian C. Verrelli, The Quarterly Review of Biology
With the huge data sets that are produced in genomic studies, many mathematicians and computer sciences researchers, as well as cell biologists and classical geneticists, are being drawn into working on problems from a genomics perspective, and they will profit greatly from reading this book. The work also provides an affordable introduction that is suited to advanced academic coursework. As in earlier editions, the illustrations, special topic boxes, and hands-on exercises are superb. ... Highly recommended. --K. A. Newman, Choice
With the huge data sets that are produced in genomic studies, many mathematicians and computer sciences researchers, as well as cell biologists and classical geneticists, are being drawn into working on problems from a genomics perspective, and they will profit greatly from reading this book. The work also provides an affordable introduction that is suited to advanced academic coursework. As in earlier editions, the illustrations, special topic boxes, and hands-on exercises are superb. ... Highly recommended. --K. A. Newman, Choice
With the huge data sets that are produced in genomic studies, many mathematicians and computer sciences researchers, as well as cell biologists and classical geneticists, are being drawn into working on problems from a genomics perspective, and they will profit greatly from reading this book. The work also provides an affordable introduction that is suited to advanced academic coursework. As in earlier editions, the illustrations, special topic boxes, and hands-on exercises are superb. ... Highly recommended. --K. A. Newman, Choice
With the huge data sets that are produced in genomic studies, many mathematicians and computer sciences researchers, as well as cell biologists and classical geneticists, are being drawn into working on problems from a genomics perspective, and they will profit greatly from reading this book. The work also provides an affordable introduction that is suited to advanced academic coursework. As in earlier editions, the illustrations, special topic boxes, and hands-on exercises are superb. ... Highly recommended. --K. A. Newman, Choice
About the Author
Greg Gibson is Professor in the School of Integrative Biology at the University of Queensland in Brisbane, Australia, and holds adjunct appointments at North Carolina State University and the Burnham Institute for Medical Research. He earned a Bachelor's Degree in Biology at the University of Sydney and a Ph.D. in Cell Biology at the University of Basel (with Walter J. Gehring). Dr. Gibson serves on the editorial boards of several leading journals, and is a Fellow of the American Association for the Advancement of Science. His research is in quantitative genetics and genomics, focusing both on the fruitfly, Drosophila melanogaster, and human variability. Spencer V. Muse is Associate Professor in the Department of Statistics, Bioinformatics Research Center at North Carolina State University. He earned a Bachelor s Degree in Statistics and a Ph.D. in Statistics and Genetics, both at NCSU (the latter with Bruce Weir and Trudy Mackay). Dr. Muse was the recipient of a Sloan Foundation Young Investigator Award (1997 2001). His research is in molecular evolution and bioinformatics.
Most helpful customer reviews
24 of 24 people found the following review helpful.
A very good, updated introduction to genomics
By Jeremy Leipzig
This is an upper level genetics textbook and contains chapters on genome projects, genome sequencing, genomic variation, gene expression, proteomics, and systems biology. There are review questions at the end of the chapters - but that should not imply that this is an elementary textbook. I can only comment on the first four chapters.
Chapter 1 has a somewhat prosaic rundown on the overarching goals of genome sequencing as well as the status of various organisms. There is a interesting section on the history of the competing approaches to the human genome project.
Chapter 2 contains one of the best textbook reviews of BAC and WGSS sequencing techniques I've seen anywhere. Chapter 3, which deals with SNPs is very strong. This is an excellent textbook to get if you are confused about the relationship between QTLs, SNPs, and haplotypes. The authors tie it all together without holding back for fear of overgeneralizing. (e.g. "the vast majority of QTL effects are almost certainly due to as yet unidentified SNPs") You can write a technically correct textbook without explaining things like that but it is no better than a doorstop. I was grateful the authors had the common sense to rise above mere formal pedagogy.
Chapter 4 is very microarray-intensive, which is kind of a shame given how quickly microarrays are disappearing from the scene. RNA-seq is mentioned but it needs to be compared with DGE.
The authors are a geneticist and statistical geneticist and so while very knowledgeable sometimes give the impression of being a bit above the fray with regard current bioinformatic analysis strategies. Because there is no discussion of how short read data is actually processed (hint: it's not with BLAST) the presentation of second and third generation sequencing technology seemed a bit token, but impressive given the time constraints of publishing.
There is room for improvement in the way some topics were discussed in an orthogonal manner but not directly mentioned in the glossary. As I mentioned there is a lot of microarray stuff, a paragraph on CNVs, but the two ideas are not connected via the competitive hybridization technique, which is one of the ways microarrays are still relevant. The terms "methylation" or "epigenetics" are not even in the index even though there is a page on ENCODE.
As I bioinformatics programmer I found this a valuable resource for learning more about population genetics.
0 of 0 people found the following review helpful.
although for some people that's a good thing. Still
By Giorgios
It's OK -- had to buy it for a class, probably wouldn't have chose it myself. Not very mathematical, although for some people that's a good thing. Still, very simple conceptual introduction.
0 of 0 people found the following review helpful.
Five Stars
By Amazon Customer
Book was in great condition
See all 6 customer reviews...
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