Compose a 3250 words assignment on bioinformatician in an nhs clinical genomics unit. Needs to be plagiarism free! The paper is structured into three sections that identify the problems that are mainly faced in an NHS clinical genomics unit and how these problems can be addressed by employing cloud computing technologies. The common problem associated with this field is the huge amount of data that is a result of the next and third-generation sequencing techniques. Genome sequencing creates a huge amount of data on a daily basis that will require additional resources for storage and analysis hence resulting in additional expenses that may not be possible for small organizations. Cloud computing offers a convenient way of virtual computing, storing and analyzing these sets of data without the need of installing the required resources on site. This report also provides a description of the cloud computing technology, its features, and types of strategies and how they can be applied in DNA sequencing. Two strategies are proposed in this report for the adoption of cloud computing in DNA sequencing. Hybrid cloud and the Public cloud strategies. The report will provide a comprehensive elaboration with the aid of tables and pictures or certificates of the use of cloud computing of bioinformatics and its application in DNA sequencing projects.

Sanger technology which was among the first generation sequencing technologies generated fairly large amounts of data. However, with the next-generation sequencing technologies (NGS), these amounts of data increased tremendously. The Bieplan indicates that the huge amounts of data prove difficult to compute, analyze, and store. This complexity affects many data centers and genome units in hospitals.

Essentially, the major problems faced by the health care units and data centers are complexity, computational problems, and storage difficulties that are associated with next-generation sequencing. It is the small organization and enterprises that feel the weight of these problems due to the lack of enough resources to install the required storage and computational resources.