Question

in which you discuss bioinformatics. Identify what bioinformatics is and some of its benefits for health care professionals. The paper should be prepared in APA format.

Answer 1

Bioinformatics is the application of computer science and information technology. It gives knowledge about medicines and improving new systems for medicals. Bioinformatics is a combination of biology, mathematics, engineering, and statistics. The biologists use this technology to understand the diseases better and also to identify the reasons for a specific disease. Bioinformatics is the use of statistical methods, computer modeling, and data management to deal with large data sets that come from many science/medicine projects, such as mapping and organizing nucleotide sequences during the Human Genome Project.
pharmaceutical and biotechnology companies develop gene therapies to prevent, treat, and cure illnesses like cancer, Alzheimer’s disease, Parkinson’s disease, arthritis, and even asthma. Combining computer science with biology for the purpose of medical research, the field of bioinformatics is a collaboration between man and machine. Aside the HGP, this field is critical for studying genomes because there is far too much data in any one genome to organize it by hand or spot patterns without any statistical methods. For example, if a researcher finds a new virus, sequences its genome, and needs to trace its lineage, a bioinformatics specialist would contrast sequences in the new genome against all known viral genomes to find "conserved" sequences that remained consistent across millions of years of evolution. These are a key to discovering what family the virus comes from (e.g. similar to Ebola, HIV or more like the flu).

Reference:

Eisenhaber F. A decade after the first full human genome sequencing: When will we understand our own genome? J Bioinformatics Comp Biol. 2012;10:12710.

Eisenhaber F. Bioinformatics: Mystery, Astrology or Service Technology. Preface. In: Eisenhaber F, editor. Discovering Biomolecular Mechanisms with Computational Biology. 1st. Georgetown: Landes Biosciences and Eurekah.com; 2006. pp. 1–10.

Valencia A, Hidalgo M. Getting personalized cancer genome analysis into the clinic: the challenges in bioinformatics. Genome Med. 2012;4:61. doi: 10.1186/gm362.