Abstract—This paper highlights the benefits of using simulation methods in the field of Bioinformatics. Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning different DNA and protein sequences to compare them and creating and viewing 3-D models of protein structures. Paper concludes that there is a vast potential of saving time and money and also increase accuracy of prediction by using simulation on live data.
Index Terms—Bioinformatics, simulation, decision making, modeling, challenges, benefits, sample data, cost of live data separated by commas.
S. U. Purohit is with Department of Mathematics, Kirti College and Department of Technology and Mgmt, NMITD, Mumbai, India. (e – mail: email@example.com)
N. M. Mirasdar is with Venkatesh Edutainment, Pune, India. (e – mail: firstname.lastname@example.org) Prasad Kandalkar, is with Persistent Systems Ltd, Pune, India. (e- mail: email@example.com)
Prasad Kandalkar, is with Persistent Systems Ltd, Pune, India (e- mail: firstname.lastname@example.org)
Cite: Niranjan M. Mirasdar, Seema U. Purohit, and Prasad Kandalkar, "Formulation of Cost Effective Simulation Methods for handling problems in Bio - Informatics," International Journal of Modeling and Optimization vol. 2, no. 3, pp. 346-350, 2012.