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E-raamat: Genomics of Cereal Crops

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  • Formaat: EPUB+DRM
  • Sari: Springer Protocols Handbooks
  • Ilmumisaeg: 13-Jun-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781071625330
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Genomics of Cereal CropsSuurem pilt
  • Formaat: EPUB+DRM
  • Sari: Springer Protocols Handbooks
  • Ilmumisaeg: 13-Jun-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781071625330
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This volume details different genomic methods and resources to explore cereal genomics. Chapters guide readers through crop genomes, Next Generation Sequencing (NGS) technologies, protocol for CRISPR editing, transgenic wheat, NGS approach, virus induced gene silencing (VIGS), genomic tools, computational prediction of ncRNAs (miRNAs & ceRNAs) in cereal crops, genotyping-by-sequencing (GBS), Bayesian method, single cell sequencing, genome-wide association study (GWAS), QTL interval mapping, whole genome bisulfite sequencing, genome imprinting, and methods for study the receptor-metabolite interaction.





 





Authoritative and cutting-edge, Genomics of Cereal Crops aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge. 
An Update on Progress and Challenges of Crop Genomes.- Updates on
Genomic Resources for Crop Improvement.- Next Generation Sequencing
Technologies: Approaches and Applications for Crop   Improvement.- Check
CRISPR editing events in transgenic wheat with Next-Generation
Sequencing.- Virus Induced Gene Silencing: A Tool to Study Gene Function in
Wheat.- Common Genomic Tools and Their Implementations in Genetic Improvement
of Cereals.- Protocol for Identification and Annotation of Differentially
Expressed Genes Using Reference-Based Transcriptomic Approach.- Transcriptome
Data Analysis Using a De Novo Assembly Approach.- Protocol for In-Silico
Identification and Functional Annotation of Abiotic Stress Responsive
MicroRNAs in Crop Plants.- Functional Annotation of miRNAs in Rice Using
ARMOUR.- Identification of ceRNAs in Cereal Crops: A Computational
Approach.- Genotyping-by-Sequencing (GBS) Method for Accelerating
Marker-Assisted Selection (MAS) Program.- Genomic Selection Using Bayesian
Methods: Models, Software and Application.- Approaches of Single Cell
Analysis in Crops Improvement.- Genome-Wide Association Study (GWAS) for
Trait Analysis in Crops.- QTL Interval Mapping for Agronomic and Quality
Traits in Crops.- Whole Genome Bisulfite Sequencing for Detection of DNA
Methylation in Crops.- Tools and Techniques for Genomic
Imprinting.- Computational Methods for Receptor-Metabolite Interaction
Studies in Crops.
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