Comparative study between Next Generation Sequencing Technique and identification of microarray for Species Identification within blended food products

Abstract

Recently people are increasingly health conscious and interested in their well-being. Dietary issues are also a hot topic of research, as an ever-growing industry aims to marked specific health benefits of foods. The attention of many people is also focused on the elemental composition of food, and many research groups focus on element analysis of food and fast identification of the chemical species of food elements. Also, many researchers are resolving questions of food elemental composition by the analysis of biological resource information. Many groups use DNA sequencing methods, because DNA analysis provides a complete picture of the genetic information. DNA sequencing methods are quickly changing due to the development of new biotechnology. Lately Next Generation Sequencing (NGS) techniques have been developed. NGS techniques have several advantages, such as increased productivity, as well as less time and cost. NGS technologies have resulted in new sequencing methods as well as the creation of a new foundation of genome research. Our research is based on species identification within fish cake using NGS and microarray. Finally we performed a comparative study between NGS and microarray by data analysis. We identified 39 fish species within fish cake samples, we are able to accurate analysis by sequence data. NGS techniques are used in many applications, including genomics and epigenomics. NGS techniques are widely used for gene analysis and early diagnosis of disease within medical R&D and bio-medical areas. Our research is widely applicable to the study of various biological materials, and may be applicable to the lowcost analysis of human genes. Our research can be applied to several areas of new research using multifaceted analysis.