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Titlebook: Genomics Data Analysis for Crop Improvement; Priyanka Anjoy,Kuldeep Kumar,Kishor Gaikwad Book 2024 The Editor(s) (if applicable) and The A

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發(fā)表于 2025-3-21 16:19:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Genomics Data Analysis for Crop Improvement
編輯Priyanka Anjoy,Kuldeep Kumar,Kishor Gaikwad
視頻videohttp://file.papertrans.cn/383/382908/382908.mp4
概述Addresses complex problems associated with crop improvement programs and sustainable agriculture.Provides a wide range of programming solutions for genomics data handling.Includes case studies and the
叢書名稱Springer Protocols Handbooks
圖書封面Titlebook: Genomics Data Analysis for Crop Improvement; Priyanka Anjoy,Kuldeep Kumar,Kishor Gaikwad Book 2024 The Editor(s) (if applicable) and The A
描述.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 s
出版日期Book 2024
關(guān)鍵詞genomic research; sustainable agriculture; association mapping; Plant breeding; biological data analysis
版次1
doihttps://doi.org/10.1007/978-981-99-6913-5
isbn_softcover978-981-99-6915-9
isbn_ebook978-981-99-6913-5Series ISSN 1949-2448 Series E-ISSN 1949-2456
issn_series 1949-2448
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 22:42:05 | 只看該作者
Kenneth E. Fellows,James E. Lockwith crop improvement programs. Special emphasis has been provided on R and Perl programming languages as these are highly popular amongst biologists, especially biometricians and bioinformaticians. Key features of these two programming languages, .., installation procedures, basic syntax, .. and th
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發(fā)表于 2025-3-22 04:28:10 | 只看該作者
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發(fā)表于 2025-3-22 06:19:12 | 只看該作者
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發(fā)表于 2025-3-22 12:13:03 | 只看該作者
Diagnostic and Therapeutic Neuroradiologynts. GWAS coupled with phenomics have given a fillip to molecular dissection of traits that are functionally relevant but difficult to phenotype. Breeding populations, a variety of germplasm resources and ephemeral lines, even with unknown pedigree structure, can be used in association mapping to fi
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發(fā)表于 2025-3-22 16:28:49 | 只看該作者
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發(fā)表于 2025-3-22 18:46:07 | 只看該作者
The ITER ECE Diagnostic Front End DesignA database are analysed while the TSA database is explored to identify novel viral sequences of a targeted virus group in several plant species. The workflow for identification and genome reconstruction of plant viruses and viroids using public domain databases is discussed. Though viral/viroid geno
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發(fā)表于 2025-3-23 00:25:36 | 只看該作者
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發(fā)表于 2025-3-23 04:44:22 | 只看該作者
Statistical and Biological Data Analysis Using Programming Languages,with crop improvement programs. Special emphasis has been provided on R and Perl programming languages as these are highly popular amongst biologists, especially biometricians and bioinformaticians. Key features of these two programming languages, .., installation procedures, basic syntax, .. and th
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發(fā)表于 2025-3-23 07:51:28 | 只看該作者
Assembly, Annotation and Visualization of NGS Data,, information technology, artificial intelligence. To have a conglomeration with the biological data, assembling, annotation and representation or visualization of the big data sets is extremely essential. These technologies include short read as well as long read sequencing individually or together
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