Wani / Kumar Genomics of Cereal Crops

Erscheinungsjahr 2022
ISBN: 978-1-0716-2533-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 362 Seiten, eBook

Reihe: Springer Protocols Handbooks

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Wani, Shabir Hussain

Kumar, Anuj

Inhaltsverzeichnis

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.