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Bioinformatics and its Advantages in DNA and RNA Sequencing Data
In an effort to provide customized medical services to the patients, the healthcare research team is using advanced genetic and genomic insights. The researchers are looking into the behavior of cells to figure out medicine that best suits them. For example, in the case of cancer, the doctors investigate the behavior of tumor cells to figure out the best drug to attack the affected cells.
The traditional sequencing methods do not examine the behavior of tumor cells accurately. This acts as a significant hindrance in the cancer treatment and results in the survival of cancer cells which do not react to the drug as expected. The DNA and RNA sequencing method look at the population of cells and examine the genes that are expressed within a sample of cancerous tissue. The recent advent in genomics has also made it possible to monitor the activity of a single cell with a technique called single-cell RNA sequencing (scRNA-seq). The scRNA-seq method compares the messenger RNA in a cell with other cells and looks for a difference in gene expression.
DNA and RNA sequencing can a have a lot of noise in its result, as the sample is measured in extreme low quantities and in different batches. The batch effect can also add to the noise. Bioinformatics can help to eliminate the noise generated in the sequencing. Bioinformatics is a method of collecting and analyzing complex biological data using computer-based programs. Bioinformatics has the ability to gather an enormous amount of biological data such as DNA and protein sequencing. Bioinformatics allows the researchers to determine the genes that are expressed in single cells. This method does not allow any solutions for noise created through batch effects.
Drug makers and the doctors use the information provided by bioinformatics program to treat their patients effectively. The clinicians attack the mutations of the tissue to treat a patient effectively.