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(17 reviews)
Author: T.A. Brown
ISBN : 1859960294
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Format: PDF
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Covering molecular genetics from the genomics perspective, Genomes, has been completely rewritten to incorporate the major advances made in the past three years. The new edition includes: the sequencing of the human genome; characterization of genome expression and replication processes, and transcriptomics and proteomics.
Genomes 2 has been extended to include more introductory material making it appropriate for early undergraduate study. As with the first edition, the superb full-color illustrations are free to download.
KEY CHANGES FROM THE FIRST EDITION:
* Expanded introductory material
* New study aids: (Learning Objectives - Highlighted Key Terms - Self Study Questions - Problem-based Learning)
* New coverage of the transcriptome and proteome
* New chapter on cloning techniques and PCR
* Extensive update of functional analysis, genome expression, and genome replication and evolution
Books with free ebook downloads available Free Download Genomes 2
- Paperback: 608 pages
- Publisher: Garland Science; 2nd edition (June 15, 2002)
- Language: English
- ISBN-10: 1859960294
- ISBN-13: 978-1859960295
- Product Dimensions: 11 x 8.3 x 1.2 inches
- Shipping Weight: 3.6 pounds
Free Download Genomes 2
Because of the explosion of genetics research and technology in today's world, many textbooks and monographs on the subject have appeared. This book is certainly one of the finest of these, and emphasizes, as stated in the the preface, the major research issues in genetics, rather than issues that were important two decades ago. Genomes, not genes, the author states, should be the topic of primary focus. The more fundamental 'microscopic' processes such as DNA replication and mutation are studied in terms of their effects on the genome. This reflects the current move in genetics to find common ground between classical genetics and modern molecular genetics. Clearly the author is very excited about the developments in genetics that have taken place in the last decade, and this shows in his writing. The only major omission in the book is the lack of exercises; these are of upmost importance in the learning process. The book, written for beginning graduate students, could also be useful to mathematicians, physicists, or computer scientists who are moving into bioinformatics or computational biology. Some of the more interesting discussions in the book include: 1. The C-value paradox: The correlation between the complexity of an organism and the size of its genome is explained by a space optimization argument, i.e. the genomes of simpler organisms conserve space by packing the genes closer together. 2. Using DNA markers versus gene markers for genetic mapping. 3. Single nucleotide polymorphisms, oligonucleotide hybridization analysis, and their use in DNA chip technology and dynamic allele-specific hybridization. 4. The need for physical mapping techniques and the discussion on the discrepancies between genetic and physical maps of S. cerevisiae chromosome III. 5.
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