Computation in BioInformatics

4Role of Data Mining in Bioinformatics

Vivek P. Chavda¹*, Amit Sorathiya², Disha Valu³ and Swati Marwadi⁴

¹Department of Pharmaceutics, L.M. College of Pharmacy, Ahmedabad, India

²Formulation & Development, Sun Pharma Advanced Research Centre, Vadodara, India

³Analytical Development, Orbicular Pharmaceutical Ltd, Hyderabad, India

⁴Department of Biotechnology, Sinhgad College of Engineering, Pune, India

Abstract

In the recent days, the term which was very challenging in the discipline of informational science is data mining, which includes extraction of tremendous amount of data. Data mining is very useful and interesting in accessing the different patterns of data from the pre-existing data in the database to get knowledge based information using different software techniques. Data mining looks most suitable for bioinformatics, as bioinformatics is enrichment of data, though the evolutionary phases of human existence at molecular level are lacking.

Nevertheless, gathering information from different databases is very helpful and informative in informational science which is affected by the several different aspects of the data stored in the libraries. These libraries involves the persistent data with the relevant domain of science. Also, it consists of various factors such as diversity, count, dimension, etc. Later on, it is not that much easier to manage and access the data which is most useful in data discovery as it requires the cogent scientific skills and deep insight ...