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Can I read Models and Algorithms for Genome Evolution (Computational Biology Book 19) on EtoBox?
Models and Algorithms for Genome Evolution (Computational Biology Book 19) by Gene Myers (auth.), Cedric Chauve, Nadia El-Mabrouk, Eric Tannier (eds.) is a nonfiction available to read on EtoBox.
What is Models and Algorithms for Genome Evolution (Computational Biology Book 19) about?
This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. Topics and features: Discusses the development of the BLAST algorithm, model-based phylogeography techniques, and the double cut and join (DCJ) distance formula Reviews the reconstruction of evolutionary features of ancestral genomes in a known phylogeny, and presents integrative models of evolution Introduces algorithms to estimate alignment and phylogeny on ultra-large datasets, and an approach for using likelihood methods with rearrangement models Examines the impact of insertion and deletion variants in human biology, evolution and health Surveys novel and recent research on g
Who reads Models and Algorithms for Genome Evolution (Computational Biology Book 19)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gene Myers (auth.), Cedric Chauve, Nadia El-Mabrouk, Eric Tannier (eds.)
- Publisher
- Springer-Verlag London
- Published
- 2013
- Language
- EN
- ISBN
- 9781447152989
- Category
- nonfiction
- Subjects
- Science, Mathematics, Biology
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