TO DEVELOP AN IN SILICO METHOD FOR THE DETECTION OF PLURIPOTENCY ON THE BASIS OF COMPARATIVE ANALYSIS OF VARIOUS PLURIPOTENCY DETERMINING TOOLS

Abstract

Bioinformatics is proving itself as a boon to modern biological researches; it is serving as a cross-disciplinary field for computational biology solutions to the various problems arising in this domain. Stem cell derived regeneration process is very complex and dynamic concept. Therefore, various statistical and probabilistic aspects are being considered to tackle the situation. Pluripotency, which is itself a big game-changer in the world of Stem cells studies; to get a clear cut idea of how to determine it in any particular cell (either IPSC or ESC) is now a handy deal with the help of various Bioinformatics tools, databases and algorithms. Many researchers have developed several ways to determine Pluripotency but all those tools and methods have their own limitations at their individual level. In this Project we have developed a novel way to determine pluripotency, this method does not rely on any cell type or any special file format acceptance criteria as other available tools do, rather it is providing a simple and reliable way to get access to any cell’s pluripotency level. This approach initially gathers the knowledge of working methods by using various other available tools and then developed its own method, which gathers information on genes expression values (present in particular cell) and then several programming languages viz. R, JAVA were used to determine the level of pluripotency. Through this approach we will be able to get a deep knowledge about the level of each gene expression present in any pluripotent cell. In other words, we are able to easily determine which genes are playing more crucial role in making any cell pluripotent. This approach will definitely prove as the most reliable way of determining pluripotency.