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Data Production and ­Analysis in Population ­Genomics
Methods and Protocols (Methods in Molecular Biology)
By Francois Pompanon (Edited by), Aurelie Bonin (Edited by), Francois Pompanon (Edited by), Aurelie Bonin (Edited by)

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Format
Paperback, 337 pages
Other Formats Available

Hardback : $220.00

Published
United States, 1 August 2016

Population genomics is a recently emerged discipline, which aims at understanding how evolutionary processes influence genetic variation across genomes. Today, in the era of cheaper next-generation sequencing, it is no longer as daunting to obtain whole genome data for any species of interest and population genomics is now conceivable in a wide range of fields, from medicine and pharmacology to ecology and evolutionary biology. However, because of the lack of reference genome and of enough a priori data on the polymorphism, population genomics analyses of populations will still involve higher constraints for researchers working on non-model organisms, as regards the choice of the genotyping/sequencing technique or that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods that are applicable to species where genomic resources are still scarce. It is divided into three convenient sections, each one tackling one of the main challenges facing scientists setting up a population genomics study. The first section helps devising a sampling and/or experimental design suitable to address the biological question of interest. The second section addresses how to implement the best genotyping or sequencing method to obtain the required data given the time and cost constraints as well as the other genetic resources already available, Finally, the last section is about making the most of the (generally huge) dataset produced by using appropriate analysis methods in order to reach a biologically relevant conclusion. Written in the successful Methods in Molecular Biology(TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, advice on methodology and implementation, and notes on troubleshooting and avoiding known pitfalls.

 

Authoritative and easily accessible, Data Production and Analysis in Population Genomics serves a wide readership by providing guidelines to help choose and implement the best experimental or analytical strategy for a given purpose.



Part I. Sampling and Experimental Design


 


1. Sampling in Landscape Genomics


            Stéphanie Manel, Cécile H. Albert, and Nigel G. Yoccoz


 


2. oligoTag: A Program for Designing Sets of Tags for Next-Generation Sequencing of Multiplexed Samples


            Eric Coissac


 


3. SNP Discovery in Non-Model Organisms Using 454 Next Generation Sequencing


            Christopher W. Wheat


 


4. ISIF (In Silico Fingerprinting): A User-Friendly in silico AFLP Program


            Margot Paris and Laurence Després


 


Part II. Producing Data


 


5. Diversity Arrays Technology (DArT) - A Generic Genome Profiling Technology on Open Platforms


            Andrzej Kilian, Peter Wenzl, Eric Huttner, Jason Carling, Ling Xia, Hélène Blois, Vanessa Caig, Katarzyna Heller-Uszynska, Damian Jaccoud, Colleen Hopper, Malgorzata Aschenbrenner-Kilian, Margaret Evers, Kaiman Peng, Cyril Cayla, Puthick Hok, and Grzegorz Uszynski


 


6. Two Methods to Easily Obtain Nucleotide Sequences from AFLP Loci of Interest


            Margot Paris, Claire-Lise Meyer, Christelle Blassiau, Eric Coissac, Pierre Taberlet, and Laurence Després


 


7. Roche Genome Sequencer FLX Based High-Throughput Sequencing of Ancient DNA


            David E. Alquezar Planas and Sarah L. Fordyce


 


8. Preparation of Normalized cDNA Libraries for 454 Titanium Transcriptome Sequencing


            Zhao Lai, Yi Zou, Nolan C. Kane, Jeong-Hyeon Choi, Xinguo Wang, and Loren H. Rieseberg


 


 


9. RAD Paired-End Sequencing for Local de novo Assembly and SNP Discovery in Non-Model Organisms


            Paul D. Etter and Eric Johnson


 


Part III. Analyzing Data


 


10. Automated Scoring of AFLPs Using RawGeno v 2.0, A Free R CRAN Library


            Nils Arrigo, Rolf Holderegger, and Nadir Alvarez


 


11. Haplotype Inference


            Olivier Delaneau and Jean-Francois Zagury


 


12. Allele Identification in Assembled Genomic Sequence Datasets


            Katrina M. Dlugosch and Aurélie Bonin


 


13. Multiple-Testing in Large-Scale Genetic Studies


            Matthieu Bouaziz, Marine Jeanmougin, and Mickaël Guedj


 


14. Population Genomic Analysis of Model and Non-Model Species Using Sequenced RAD Tags


            Paul A. Hohenlohe, Julian Catchen, and William A. Cresko


 


15. Analysis and Management of Gene and Allelic Diversity in Subdivided Populations Using the Software Program METAPOP


            Andrés Pérez-Figueroa, Silvia T. Rodríguez-Ramilo, and Armando Caballero


 


16. DETSEL: An R-Package to Detect Marker Loci Responding to Selection


            Renaud Vitalis


 


17. Use of Qualitative Environmental and Phenotypic Variables in the Context of Allele Distribution Models: Detecting Signatures of Selection in the Genome of Lake Victoria Cichilds


            Stéphane Joost, Michael Kalbermatten, Etienne Bezault, and Ole Seehausen


 


18. Genomic Scan as a Tool for Assessing the Genetic Component of Phenotypic Variance in Wild Populations

            Carlos M. Herrera

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Product Description

Population genomics is a recently emerged discipline, which aims at understanding how evolutionary processes influence genetic variation across genomes. Today, in the era of cheaper next-generation sequencing, it is no longer as daunting to obtain whole genome data for any species of interest and population genomics is now conceivable in a wide range of fields, from medicine and pharmacology to ecology and evolutionary biology. However, because of the lack of reference genome and of enough a priori data on the polymorphism, population genomics analyses of populations will still involve higher constraints for researchers working on non-model organisms, as regards the choice of the genotyping/sequencing technique or that of the analysis methods. Therefore, Data Production and Analysis in Population Genomics purposely puts emphasis on protocols and methods that are applicable to species where genomic resources are still scarce. It is divided into three convenient sections, each one tackling one of the main challenges facing scientists setting up a population genomics study. The first section helps devising a sampling and/or experimental design suitable to address the biological question of interest. The second section addresses how to implement the best genotyping or sequencing method to obtain the required data given the time and cost constraints as well as the other genetic resources already available, Finally, the last section is about making the most of the (generally huge) dataset produced by using appropriate analysis methods in order to reach a biologically relevant conclusion. Written in the successful Methods in Molecular Biology(TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, advice on methodology and implementation, and notes on troubleshooting and avoiding known pitfalls.

 

Authoritative and easily accessible, Data Production and Analysis in Population Genomics serves a wide readership by providing guidelines to help choose and implement the best experimental or analytical strategy for a given purpose.



Part I. Sampling and Experimental Design


 


1. Sampling in Landscape Genomics


            Stéphanie Manel, Cécile H. Albert, and Nigel G. Yoccoz


 


2. oligoTag: A Program for Designing Sets of Tags for Next-Generation Sequencing of Multiplexed Samples


            Eric Coissac


 


3. SNP Discovery in Non-Model Organisms Using 454 Next Generation Sequencing


            Christopher W. Wheat


 


4. ISIF (In Silico Fingerprinting): A User-Friendly in silico AFLP Program


            Margot Paris and Laurence Després


 


Part II. Producing Data


 


5. Diversity Arrays Technology (DArT) - A Generic Genome Profiling Technology on Open Platforms


            Andrzej Kilian, Peter Wenzl, Eric Huttner, Jason Carling, Ling Xia, Hélène Blois, Vanessa Caig, Katarzyna Heller-Uszynska, Damian Jaccoud, Colleen Hopper, Malgorzata Aschenbrenner-Kilian, Margaret Evers, Kaiman Peng, Cyril Cayla, Puthick Hok, and Grzegorz Uszynski


 


6. Two Methods to Easily Obtain Nucleotide Sequences from AFLP Loci of Interest


            Margot Paris, Claire-Lise Meyer, Christelle Blassiau, Eric Coissac, Pierre Taberlet, and Laurence Després


 


7. Roche Genome Sequencer FLX Based High-Throughput Sequencing of Ancient DNA


            David E. Alquezar Planas and Sarah L. Fordyce


 


8. Preparation of Normalized cDNA Libraries for 454 Titanium Transcriptome Sequencing


            Zhao Lai, Yi Zou, Nolan C. Kane, Jeong-Hyeon Choi, Xinguo Wang, and Loren H. Rieseberg


 


 


9. RAD Paired-End Sequencing for Local de novo Assembly and SNP Discovery in Non-Model Organisms


            Paul D. Etter and Eric Johnson


 


Part III. Analyzing Data


 


10. Automated Scoring of AFLPs Using RawGeno v 2.0, A Free R CRAN Library


            Nils Arrigo, Rolf Holderegger, and Nadir Alvarez


 


11. Haplotype Inference


            Olivier Delaneau and Jean-Francois Zagury


 


12. Allele Identification in Assembled Genomic Sequence Datasets


            Katrina M. Dlugosch and Aurélie Bonin


 


13. Multiple-Testing in Large-Scale Genetic Studies


            Matthieu Bouaziz, Marine Jeanmougin, and Mickaël Guedj


 


14. Population Genomic Analysis of Model and Non-Model Species Using Sequenced RAD Tags


            Paul A. Hohenlohe, Julian Catchen, and William A. Cresko


 


15. Analysis and Management of Gene and Allelic Diversity in Subdivided Populations Using the Software Program METAPOP


            Andrés Pérez-Figueroa, Silvia T. Rodríguez-Ramilo, and Armando Caballero


 


16. DETSEL: An R-Package to Detect Marker Loci Responding to Selection


            Renaud Vitalis


 


17. Use of Qualitative Environmental and Phenotypic Variables in the Context of Allele Distribution Models: Detecting Signatures of Selection in the Genome of Lake Victoria Cichilds


            Stéphane Joost, Michael Kalbermatten, Etienne Bezault, and Ole Seehausen


 


18. Genomic Scan as a Tool for Assessing the Genetic Component of Phenotypic Variance in Wild Populations

            Carlos M. Herrera

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Product Details
EAN
9781493959136
ISBN
1493959131
Other Information
15 Tables, black and white; XI, 337 p.
Dimensions
23.4 x 15.6 x 1.9 centimetres (0.91 kg)

Table of Contents

Sampling in Landscape Genomics.- oligoTag: A Program for Designing Sets of Tags for Next-Generation Sequencing of Multiplexed Samples.- SNP Discovery in Non-Model Organisms Using 454 Next Generation Sequencing.- ISIF (In Silico Fingerprinting): A User-Friendly in silico AFLP Program.- Diversity Arrays Technology (DArT) – A Generic Genome Profiling Technology on Open Platforms.- Two Methods to Easily Obtain Nucleotide Sequences from AFLP Loci of Interest.- Roche Genome Sequencer FLX Based High-Throughput Sequencing of Ancient DNA.- Preparation of Normalized cDNA Libraries for 454 Titanium Transcriptome Sequencing.- RAD Paired-End Sequencing for Local de novo Assembly and SNP Discovery in Non-Model Organisms.- Automated Scoring of AFLPs Using RawGeno v 2.0, A Free R CRAN Library.- Haplotype Inference.- Allele Identification in Assembled Genomic Sequence Datasets.- Multiple-Testing in Large-Scale Genetic Studies.- Population Genomic Analysis of Model and Non-Model Species Using Sequenced RAD Tags.- Analysis and Management of Gene and Allelic Diversity in Subdivided Populations Using the Software Program METAPOP.- DETSEL: An R-Package to Detect Marker Loci Responding to Selection.- Use of Qualitative Environmental and Phenotypic Variables in the Context of Allele Distribution Models: Detecting Signatures of Selection in the Genome of Lake Victoria Cichilds.- Genomic Scan as a Tool for Assessing the Genetic Component of Phenotypic Variance in Wild Populations.

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