Evolutionary Genomics: Statistical and Computational Methods, Volume 2 (Methods in Molecular Biology, 856) 🔍
Christian N. K. Anderson, Liang Liu, Dennis Pearl, Scott V. Edwards (auth.), Maria Anisimova (eds.) Humana Press : Springer, Methods in Molecular Biology, Methods in Molecular Biology 856, 2, 1, 2012
英语 [en] · PDF · 9.2MB · 2012 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
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 BiologyTM__ 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.
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-1-61779-585-5.pdf
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nexusstc/Evolutionary Genomics: Statistical and Computational Methods/90ba9ffbced06408bcaef9a25e95374c.pdf
备用文件名
scihub/10.1007/978-1-61779-585-5.pdf
备用文件名
zlib/Medicine/Christian N. K. Anderson, Liang Liu, Dennis Pearl, Scott V. Edwards (auth.), Maria Anisimova (eds.)/Evolutionary Genomics: Statistical and Computational Methods, Volume 2_2144557.pdf
备选标题
Evolutionary genomics. Volume 2 : statistical and computational methods
备选作者
edited by Maria Anisimova
备用版本
Methods in molecular biology -- 855-856, Springer protocols, Methods in molecular biology (Clifton, N.J.) -- v. 855-856., Springer protocols, New York, New York State, 2012
备用版本
Methods in molecular biology, methods and protocols, Totowa, NJ, 2012
备用版本
United States, United States of America
备用版本
2012, FR, 2012
元数据中的注释
sm11205424
元数据中的注释
{"container_title":"Methods in Molecular Biology","edition":"1","isbns":["1617795844","1617795852","9781617795848","9781617795855"],"issns":["1064-3745","1940-6029"],"last_page":556,"publisher":"Humana Press","series":"Methods in Molecular Biology 856","volume":"2"}
元数据中的注释
Includes bibliographical references and index.
备用描述
Vol. 1. - Pt. I. Introduction: Bioinformactician's Primers: 1. Introduction To Genome Biology: Features, Processes, And Structures / Aidan Budd ; 2. Diversity Of Genome Organisation / Aidan Budd ; 3. Probability, Statistics, And Computational Science / Niko Beerenwinkel And Juliane Siebourg ; 4. The Essentials Of Computational Molecular Evolution / Stéphane Aris-brosou And Nicolas Rodrigue ; - Pt.ii. Genomic Data Assembly, Alignment, And Homology Inference: 5. Next-generation Sequencing Technologies And Fragment Assembly Algorithms / Heewook Lee And Haixu Tang ; 6. Gene Prediction / Tyler Alioto ; 7. Alignment Methods: Strategies, Challenges, Benchmarking, And Comparative Overview / Ari Lötynoja ; 8. Whole-genome Alignment / Colin N. Dewey ; 9. Inferring Orthology And Paralogy / Adrian M. Altenhoff And Christophe Dessimoz ; 10. Detecting Laterally Transferred Genes / Rajeev K. Azad And Jeffrey G. Lawrence ; - Pt. Iii. Genome Evolution: Insights From Statistical Analyses: 11.^ ^genome Evolution In Outcrossing Versus Selfing Versus Asexual Species / Sylvain Glémin And Nicolas Galtier ; 12. Transposable Elements And Their Identification / Wojciech Makałowski, Amit Pande, Valer Gotea, And Izabela Makałowska ; 13. Evolution Of Genome Content: Population Dynamics Of Transposable Elements In Flies And Humans / Josefa González And Dmitri Petrov ; 14. Detection And Phylogenetic Assessment Of Conserved Synteny Derived From Whole Genome Duplications / Shigehiro Kuraku And Axel Meyer ; 15. Analysis Of Gene Order Evolution Beyond Single-copy Genes / Nadia El-mabrouk And David Sankoff ; 16. Discovering Patterns In Gene Order / Laxmi Parida And Niina Haiminen --^ Vol. 2. - Pt. I. Phylogenomics: 1. Tangled Trees: The Challenge Of Inferring Species Trees From Coalescent And Noncoalescent Genes / Christian N.k. Anderson, Liang Liu, Dennis Pearl, And Scott V. Edwards ; 2. Modeling Gene Family Evolution And Reconciling Phylogenetic Discord / Gergely J. Szöllősi And Vincent Daubin ; 3. Genome-wide Comparative Analysis Comparative Analysis Of Phylogenetic Trees: The Prokaryotic Forest Of Life / Pere Puigbó, Yuri I. Wolf, And Eugene V. Koonin ; 4. Philosophy And Evolution: Minding The Gap Between Evolutionary Patterns And Tree-like Patterns / Eric Bapteste, Frédéric Bouchard, And Richard M. Burian ; - Pt. Ii. Natural Selection, Recombination, And Innovation In Genomic Sequences: 5. Selection On The Protein-coding Genome / Carolin Kosiol And Maria Anisimova ; 6. Methods To Detect Selection On Noncoding Dna / Ying Zhen And Peter Andolfatto ; 7. The Origin And Evolution Of New Genes / Margarida Cardoso-moreiera And Manyuan Long ; 8.^ Evolution Of Protein Domain Architectures / Kristoffer Forslund And Erik L.l. Sonnhammer ; 9. Estimating Recombination Rates From Genetic Variation In Humans / Adam Auton And Gil Mcvean ; 10. Evolution Of Viral Genomes: Interplay Between Selection, Recombination And Other Forces / Sergei L. Kosakovsky Pond, Ben Murrell, And Art F.y. Poon ; - Pt. Iii. Population Genomics: 11. Association Mapping And Disease: Evolutionary Perspectives / Soren Besenbacher, Thomas Mailund, And Mikkel H. Schierup ; 12. Ancestral Population Genomics / Julien Y. Dutheil And Asger Hobolth ; 13. Nonredundant Representation Of Ancestral Recombinations Graphs / Laxmi Parida ; - Pt. Iv: The -omics. 14. Using Genomic Tools To Study Regulatory Evolution / Yoav Gilad ; 15. Characterization And Evolutionary Analysis Of Protein-protein Interaction Networks / Gabriel Musso, Andrew Emili, And Zhaolei Zhang ; 16. Statistical Methods In Metabolomics / Alexander Korman, Amy Oh, Alexander Raskind, And David Banks ; 17.^ Introduction The Analysis Of Environmental Sequences: Metagenomics With Megan / Daniel H. Huson And Suparna Mitra ; 18. Analyzing Epigenome Data In Context Of Genome Evolution And Human Diseases / Lars Feuerbach, Konstantin Halachev, Yassen Assenov, Fabian Müller, Cahristoph Bock, And Thomas Lengauer ; 19. Genetical Genomics For Evolutionary Studies / Pjotr Prins, Geert Smant, And Ritsert C. Jansen ; - Pt. V. Handling Genomic Data: Resources And Computation: 20. Genomics Data Resources: Frameworks And Standards / Mark D. Wilkinson ; 21. Sharing Programming Resources Between Bio* Projects Through Remote Procedure Call And Native Call Stack Strategies / Pjotr Prins, Naohisa Goto, Andrew Yates, Laurent Gautier, Scotter Willis, Christopher Fields, And Toshiaki Katayama ; 22. Scaleable Computing For Evoluntionart Genomics / Pjotr Prins, Dominique Belhachemi, Steffen Möller, And Geert Smant. Edited By Maria Anisimova. Includes Bibliographical References And Index.
备用描述
This book examines developments in statistical methodology and the challenges that followed rapidly improving sequencing technologies. Includes articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.
备用描述
This highly practical volume, with its step-by-step techniques, brings together recent developments in the statistical methodology of evolutionary genomics and the challenges that followed as a result of rapidly improving sequencing technologies.
备用描述
Front Matter....Pages i-xv
Front Matter....Pages 1-1
Front Matter....Pages 3-28
Front Matter....Pages 29-51
Front Matter....Pages 53-79
Front Matter....Pages 81-110
Front Matter....Pages 111-111
Back Matter....Pages 113-140
....Pages 141-159
开源日期
2013-08-01
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