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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等级的上升

前兆

Genomics Data Analysis for Crop Improvement978-981-99-6913-5Series ISSN 1949-2448 Series E-ISSN 1949-2456

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OMIT

Statistical and Biological Data Analysis Using Programming Languages,has opened the door for researchers to carry out different types of analysis in various areas of biological sciences like genomics, transcriptomics, proteomics, metabolomics, .. Hence, the need for fast and efficient computational tools have been felt for performing various types of . analysis of th

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Comprise

Assembly, Annotation and Visualization of NGS Data,in the price of sequencing per base. The last decade has witnessed a substantial upsurge in the chemistries, databases, tools, and bioinformatics platforms. The number of data (GBs) deposited in publicly available databases is increasing exponentially day by day. From unraveling the basic structural

CHAFE

Statistical and Quantitative Genetics Studies,er of fact, the majority of economically significant traits in crops and livestock species are quantitative in nature rather than qualitative. Several biometricians have made a significant contribution to understand how quantitative genetics works. Different methods of plant breeding had evolved, an

CERE

细微差别

Trait Based Association Mapping in Plants,ence has become an indispensable tool in genetic and molecular dissection of traits. GWAS is critically dependent on the pattern of linkage disequilibrium (LD) within the genome which in turn depends on the interplay of evolutionary forces. The rapid evolution of technologies to genotype single nucl