Computational Foundations for Bioinformatics Bioinformatics Application Written

Question

Computational Foundations for Bioinformatics

Bioinformatics Application Written Assignment - prepare a written analysis about a specific bioinformatics application.

Assignment specifics:

Choose an area of interest you have that employs or supports bioinformatics. Examples include cancer, agriculture, pathogens, diseases, healthcare, and extends to cloud computing, big data, and other topics.

Find 3 references including at least one scholarly article regarding the topic or area of interest.

Become the expert on the topic. Prepare a summary of your findings. Research and find how bioinformatics is used in the application area. In your paper, on how the use of bioinformatics may be impacting your area of interest.

Include a recommendation on a business or research opportunity that you believe would be valuable to develop that involves your application area.  

Explanation / Answer

The volume of biological data collected during the course of biomedical research has exploded, thanks in large part to powerful new research technologies.

The availability of these data, and the insights they may provide into the biology of disease, has many in the research community excited about the possibility of expediting progress toward precision medicine—that is, tailoring prevention, diagnosis, and treatment based on the molecular characteristics of a patient’s disease.

Mining the sheer volume of "Big Data" to answer the complex biological questions that will bring precision medicine into the mainstream of clinical care, however, remains a challenge.

Establishing an infrastructure to store, analyze, integrate, and visualize large amounts of biological data and related information, as well as providing access to it, is the focus of bioinformatics.

Bioinformatics uses advanced computing, mathematics, and different technological platforms to physically store, manage, analyze, and understand the data.

Cancer is one of the commonest causes of patient death in the clinic and a complex disease occurring in multiple organs per system, multiple systems per organ, or both, in the body. The poor diagnoses, therapies and prognoses of the disease could be mainly due to the variation of severities, durations, locations, sensitivity and resistance against drugs, cell differentiation and origin, and understanding of pathogenesis. With increasing evidence that the interaction and network between genes and proteins play an important role in investigation of cancer molecular mechanisms, it is necessary and important to introduce a new concept of Systems Clinical Medicine into cancer research, to integrate systems biology, clinical science, omics-based technology, bioinformatics and computational science to improve diagnosis, therapies and prognosis of diseases. Cancer bioinformatics is a critical and important part of the systems clinical medicine in cancer and the core tool and approach to carry out the investigations of cancer in systems clinical medicine. “Thematic Series on Cancer bioinformatics” gather the strength of BMC bioinformatics, BMC Cancer, Genome Medicine and Journal of Clinical Bioinformatics to headline the application of cancer bioinformatics for the development of bioinformatics methods, network biomarkers and precision medicine. The Series focuses on new developments in cancer bioinformatics and computational systems biology to explore the potential of clinical applications and improve the outcomes of patients with cancer.

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