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130626 ||| eng |
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|a 9781617795855
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| 100 |
1 |
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|a Anisimova, Maria
|e [editor]
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| 245 |
0 |
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|a Evolutionary Genomics
|h Elektronische Ressource
|b Statistical and Computational Methods, Volume 2
|c edited by Maria Anisimova
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| 250 |
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|a 1st ed. 2012
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| 260 |
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|a Totowa, NJ
|b Humana Press
|c 2012, 2012
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| 300 |
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|a XV, 556 p. 111 illus., 44 illus. in color
|b online resource
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| 505 |
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|a Tangled Trees: The Challenge of Inferring Species Trees from Coalescent and Non-Coalescent Genes -- Modeling Gene Family Evolution and Reconciling Phylogenetic Discord -- Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life -- Philosophy and Evolution: Minding the Gap Between Evolutionary Patterns and Tree-Like Patterns -- Selection on the Protein Coding Genome -- Methods to Detect Selection on Non-Coding DNA -- The Origin and Evolution of New Genes -- Evolution of Protein Domain Architectures -- Estimating Recombination Rates from Genetic Variation in Humans -- Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces -- Association Mapping and Disease: Evolutionary Perspectives -- Ancestral Population Genomics -- Non-Redundant Representation of Ancestral Recombinations Graphs -- Using Genomic Tools to Study Regulatory Evolution -- Characterization and Evolutionary Analysis of Protein-Protein Interaction Networks -- Statistical Methods in Metabolomics -- Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN -- Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases -- Genetical Genomics for Evolutionary Studies -- Genomics Data Resources: Frameworks and Standards -- Sharing Programming Resources Between Bio* Projects through Remote Procedure Call and Native Call Stack Strategies -- Scalable Computing for Evolutionary Genomics
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| 653 |
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|a Human Genetics
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| 653 |
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|a Evolutionary Biology
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| 653 |
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|a Human genetics
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| 653 |
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|a Evolutionary biology
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Methods in Molecular Biology
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-61779-585-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 599.935
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| 082 |
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|a 611.01816
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| 520 |
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|a Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular Biology™ series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics
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