Report for: Evolutionary Genomics

Title	Evolutionary Genomics
Published by	Evolutionary Genomics Statistical and Computational Methods Volume 2, January 2012
DOI	10.1007/978-1-61779-585-5
ISBNs	978-1-61779-584-8, 978-1-61779-585-5
Editors	Anisimova, Maria
Abstract	Phylogenies based on different genes can produce conflicting phylogenies; methods that resolve such ambiguities are becoming more popular, and offer a number of advantages for phylogenetic analysis. We review so-called species tree methods and the biological forces that can undermine them by violating important aspects of the underlying models. Such forces include horizontal gene transfer, gene duplication, and natural selection. We review ways of detecting loci influenced by such forces and offer suggestions for identifying or accommodating them. The way forward involves identifying outlier loci, as is done in population genetic analysis of neutral and selected loci, and removing them from further analysis, or developing more complex species tree models that can accommodate such loci.

X Demographics

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Type	Count	As %
Members of the public	4	57%
Scientists	3	43%

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	18	100%

Readers by professional status	Count	As %
Student > Master	7	39%
Student > Ph. D. Student	3	17%
Student > Bachelor	2	11%
Lecturer	1	6%
Student > Doctoral Student	1	6%
Other	1	6%
Unknown	3	17%

Readers by discipline	Count	As %
Agricultural and Biological Sciences	6	33%
Biochemistry, Genetics and Molecular Biology	5	28%
Computer Science	1	6%
Pharmacology, Toxicology and Pharmaceutical Science	1	6%
Unknown	5	28%

Evolutionary Genomics