Read Comparative Genomics: Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families (Computational Biology) by Brand: Springer Online

[Brand: Springer] ✓ Comparative Genomics: Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families (Computational Biology) ✓ Download Online eBook or Kindle ePUB. Comparative Genomics: Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families (Computational Biology) A collection of useful articles This is not exactly bed-time reading (I tried), but many of the articles are well written. Most of them contain useful stuff and I hope to get around to implementing and testing some of the ideas. If you are interested in computational aspects of Comparative Genomics, then this book is a must.]

Comparative Genomics: Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families (Computational Biology)

Title : Comparative Genomics: Empirical and Analytical Approaches to Gene Order Dynamics, Map Alignment and the Evolution of Gene Families (Computational Biology)
Author :
Rating : 4.85 (786 Votes)
Asin : 0792365844
Format Type : paperback
Number of Pages : 557 Pages
Publish Date : 2013-04-17
Language : English

A comprehensive account of genomic rearrangement, focusing on the mechanisms of inversion, translocation, gene and genome duplication and gene transfer and on the patterns that result from them in comparative maps. Includes analyses of genomic sequences in organelles, prokaryotes and eukaryotes as well as comparative maps of the nuclear genomes in higher plants and animals. The book showcases a variety of algorithmic and statistical approaches to rearrangement and map data.

A collection of useful articles This is not exactly bed-time reading (I tried), but many of the articles are well written. Most of them contain useful stuff and I hope to get around to implementing and testing some of the ideas. If you are interested in computational aspects of Comparative Genomics, then this book is a must.

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