Genome Profiling for Genetic Marker Discovery
(Sprache: Englisch)
Recent advancement in genome technology, especially high throughput low cost sequencing and microarrays, revolutionizes the way for discovering genetic markers and enables their new applications. This volume is designed to build a genetic tool box with...
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Recent advancement in genome technology, especially high throughput low cost sequencing and microarrays, revolutionizes the way for discovering genetic markers and enables their new applications. This volume is designed to build a genetic tool box with these emerging techniques for molecular biologists, geneticists, clinical scientists and breeders. While theses methods and protocols were developed in genomics and bioinformatics laboratories in the forefront of the fields, the format of each method or protocol is easy to understand and practical to address different challenging issues in genetic marker discovery.
Klappentext zu „Genome Profiling for Genetic Marker Discovery “
Recent advancement in genome technology, especially high throughput low cost sequencing and microarrays, revolutionizes the way for discovering genetic markers and enables their new applications. This volume is designed to build a genetic tool box with these emerging techniques for molecular biologists, geneticists, clinical scientists and breeders. While theses methods and protocols were developed in genomics and bioinformatics laboratories in the forefront of the fields, the format of each method or protocol is easy to understand and practical to address different challenging issues in genetic marker discovery.
Recent advancement in genome technology, especially high throughput low cost sequencing and microarrays, revolutionizes the way for discovering genetic markers and enables their new applications. This volume is designed to build a genetic tool box with these emerging techniques for molecular biologists, geneticists, clinical scientists and breeders. While theses methods and protocols were developed in genomics and bioinformatics laboratories in the forefront of the fields, the format of each method or protocol is easy to understand and practical to address different challenging issues in genetic marker discovery.
Inhaltsverzeichnis zu „Genome Profiling for Genetic Marker Discovery “
PrefacePart I. Microarray-assisted DNA marker discovery (6)
Genetic discovery by genomics
GeneChip microarray for expression and genetic analysis
Gene Tanimoto, Affymetrix Inc.
Sample preparation for genome profiling
Charles Chilcott and Tong Zhu, Syngenta Biotechnology, Inc., Research Triangle Park, NC 27709
SFP detection from genome profiles
Justin Borevitz, University of Chicago, Department of Ecology and Evolution, Chicago, IL 60637, USA
Single feature polymorphism detection in rice
Henry Nguyen, Division of Plant Sciences, University of Missouri-Columbia, Columbia, Missouri, USA
Genome resequencing by GeneChip microarrays
High resolution SFP detection by tiling arrays
David Gresham, Lewis-Sigler Institute for Integrative Genomics and Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
Part II. High density marker applications (5)
ExTreme array mapping of quantitative trait loci
David J. Wolyn, Department of Plant Agriculture, University of Guelph, Guelph, Ontario N1G 2W1, Canada
Ultra-high density mapping by genome profiling
Christopher Basten, Syngenta Biotechnology, Inc., Research Triangle Park, NC 27709, USA
Microarray assisted positional gene cloning
Ji-Ming Gong and Julian I. Schroeder, Division of Biological Sciences, Cell and Developmental Biology Section and Center for Molecular Genetics, University of California at San Diego, La Jolla, CA 92093, USA
Elucidating genetic diversity with oligonucleotide arrays
Elizabeth Winzeler, Department of Cell Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
Single-feature polymorphism data for inference in population genetics
Simon Tavaré Molecular and Computational Biology Program, University of Southern California, CA 90089, USA
Part III. Combine genetic and functional information (9)
SFP detection from complex transcriptome
Robbie Waugh, Scottish Crop Research Institute, Genome Dynamics, Invergowrie, Dundee, DD2 5DA, Scotland, UK
Detection
... mehr
and applications of gene expression markers
Marilyn West and Richard Michelmore, Department of Plant Sciences and The Genome Center, University of California Davis, Davis, CA 95616, USA
Detecting single-feature polymorphisms by robustified projection pursuit
Xinping Cui, Department of Statistics, University of California Riverside, CA 92521, USA
Statistical analysis for SFP identification from RNA data
Weibo Xie and Qifa Zhang, Huazhong Agricultural University, Wuhan, China
Microarray experimental design strategies for genetical genomics studies
Guilherme J. M. Rosa, Department of Animal Science and Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824
Statistical methods for expression quantitative trait loci (eQTL) mapping
C. M. Kendziorski, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin 53703, USA
A Bayesian clustering method for analysis of all expressed transcripts and markers jointly in a single model
Shizhong Xu, Department of Botany and Plant Sciences, University of California, Riverside, California 92521, USA
eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Zhao-Bang Zeng, Bioinformatics Research Center, Department of Statistics, and Department of Genetics, North Carolina State University, Raleigh, NC 27695, USA
e-QTL case study: Dissect genetic regulation of gene expression in Arabidopsis shoot development
Stephen Howell, Plant Sciences Institute, Iowa State University, Ames, IA 50011, USA
Part IV. Beyond model systems (4)
Rapid and cost-effective polymorphism identification using restriction site associated DNA (RAD) markers
Eric Johnson, Institute for Molecular Biology, University of Oregon, Eugene, Oregon 97403
Diversity Arrays Technology (DArT) for whole-genome profiling
Andrzej Kilian, Center for the Application of Molecular Biology to International Agriculture and Diversity Arrays Technology Pty.
Marilyn West and Richard Michelmore, Department of Plant Sciences and The Genome Center, University of California Davis, Davis, CA 95616, USA
Detecting single-feature polymorphisms by robustified projection pursuit
Xinping Cui, Department of Statistics, University of California Riverside, CA 92521, USA
Statistical analysis for SFP identification from RNA data
Weibo Xie and Qifa Zhang, Huazhong Agricultural University, Wuhan, China
Microarray experimental design strategies for genetical genomics studies
Guilherme J. M. Rosa, Department of Animal Science and Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan 48824
Statistical methods for expression quantitative trait loci (eQTL) mapping
C. M. Kendziorski, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin 53703, USA
A Bayesian clustering method for analysis of all expressed transcripts and markers jointly in a single model
Shizhong Xu, Department of Botany and Plant Sciences, University of California, Riverside, California 92521, USA
eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Zhao-Bang Zeng, Bioinformatics Research Center, Department of Statistics, and Department of Genetics, North Carolina State University, Raleigh, NC 27695, USA
e-QTL case study: Dissect genetic regulation of gene expression in Arabidopsis shoot development
Stephen Howell, Plant Sciences Institute, Iowa State University, Ames, IA 50011, USA
Part IV. Beyond model systems (4)
Rapid and cost-effective polymorphism identification using restriction site associated DNA (RAD) markers
Eric Johnson, Institute for Molecular Biology, University of Oregon, Eugene, Oregon 97403
Diversity Arrays Technology (DArT) for whole-genome profiling
Andrzej Kilian, Center for the Application of Molecular Biology to International Agriculture and Diversity Arrays Technology Pty.
... weniger
Bibliographische Angaben
- Autor: T. Zhu
- 2015, 2015., 300 Seiten, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Ed. by Zhu, Tong
- Herausgegeben: Tong Zhu
- Verlag: Springer
- ISBN-10: 1603273506
- ISBN-13: 9781603273503
Sprache:
Englisch
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