Genomics Data Analysis for Crop Improvement / Springer Protocols Handbooks (PDF)
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This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies.
Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.
Kuldeep Kumar is Scientist at the ICAR-Indian Institute for Pulses Research, Kanpur, Uttar Pradesh, India. His areas of research include sequencing-based mapping, GWAS, QTL-seq, QTL-mapping, transcriptomics and genomics. He has published more than 30 research papers in various reputed national and international journals. Presently, he is working on delineating the molecular mechanism of salinity tolerance in black gram by using advanced genomics approaches like GWAS, QTL-mapping and transcriptomics.
Girish Chandra is Associate Professor at the Department of Statistics, University of Allahabad, Prayagraj, India. Before joining the University of Allahabad, in April 2022, he worked as Scientist at the Division of Forestry Statistics, Indian Council of Forestry Research and Education (ICFRE), and at the Central Agricultural University, Sikkim, for about 15 years. He is a recipient of
Kishor Gaikwad is Principal Scientist at the ICAR-National Institute for Plant Biotechnology, New Delhi, India. His areas of research include functional genomics, genome sequencing, genomics and molecular breeding. He has published more than 150 research papers in various reputed national and international journals. He is one of the pioneer members of the Rice, Pigeonpea, and Tomato Genome consortium in India. His lab is currently working on delineating the genes, markers, and pathways involved in several abiotic stresses, flowering, and seed and pod in pigeon pea. Besides, his lab is also involved in developing the first draft genome sequence of Cyamopsis tetragonaloba and Vigna mungo.
- 2024, 1st ed. 2024, 374 Seiten, Englisch
- Herausgegeben: Priyanka Anjoy, Kuldeep Kumar, Girish Chandra, Kishor Gaikwad
- Verlag: Springer Nature Singapore
- ISBN-10: 9819969131
- ISBN-13: 9789819969135
- Erscheinungsdatum: 09.01.2024
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