Genomics of Cereal Crops

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, computa...

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Bibliographic Details
Other Authors: Wani, Shabir Hussain (Editor), Kumar, Anuj (Editor)
Format: eBook
Language:English
Published: New York, NY Humana 2022, 2022
Edition:1st ed. 2022
Series:Springer Protocols Handbooks
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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