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.