From recently in silico approach in biological sciences and agriculture is an interdisciplinary science developed by deploying benign use of computer, statistics, biology, and mathematics to analyze genome arrangement and contents and biological sequence data, and predict the structure and function of macromolecules that use in interpreting and decoding plant genome. The broad amount of data produced in life sciences resulted in the evolution and development of bioinformatics. Omics, bioinformatics, and computational tools are very essential to understand genomics and the molecular systems that underlie several plant functions. Various new omic layers such as genome, hormonome, metabalome, interactome, and epigenome analysis have emerged by technological advances. Such integration of information enables and facilitates the identification of expression of gene which helps to interpret the relationship between phenotype and genotype, thus approving from genome to phenome system-wide analysis. Earlier biological research that used laboratories, plant clinics and field is now at in silico or computer level (computational). Bioinformatics develops software, algorithms, databases, and tools of data analysis to make discoveries and infer the information. Application of various bioinformatics tools and databases enables analysis, storage, annotation, visualization, and retrieval of outcomes to help enhance understanding in living system research. Thus, it will help to improve the plant quality based on health care disease diagnosis. In this book we describe the bioinformatics approaches (databases and tools) in plant science and implication of next-generation sequencing (NGS) technology on crop genetics. The proposed book will be benign to researchers involved in sustenance of agriculture with below described points: