Abstract
Stem cells have the remarkable potential to develop into many different cell types in the body during early life and growth. In addition, in many tissues they serve as a sort of internal repair system, dividing essentially without limit to replenish other cells as long as the person or animal is still alive. When a stem cell divides, each new cell has the potential either to remain a stem cell or become another type of cell with a more specialized function, such as a muscle cell, a red blood cell, or a brain cell. Transplantation is the important process in the medical field where healthy stem cells can be transplanted to the donors who in need of those. The difficulty in stem cell transplantation is finding the donors. HLA typing is the process for finding the unrelated donors for stem cell transplantation. Research on stem cells continues to advance knowledge about how an organism develops from a single cell and how healthy cells replace damaged cells in adult organisms. Stem cell research is one of the most fascinating areas of contemporary biology, but, as with many expanding fields of scientific inquiry, research on stem cells raises scientific questions as rapidly as it generates new discoveries. Data mining is one such field which helps can be incorporated in the various activities of the medical field, thus making it beneficial. The database is used to search for similar genes which in turn help in the process of HLA typing.
Keywords
Stem cells
HLA Typing
Genes
Transplantation.
Authors
How to Cite this Article
T. Jayanthi, V.Geetha (2017).
"A SIGNIFICANCE OF COMPUTATIONAL TECHNIQUES IN HLA TYPING FOR STEM CELL TRANSPLANTATION".
International Journal of Contemporary Research in Computer Science and Technology,
3(6), pp. 1-3.