Abstract
Research in point mutation is ubiquitous in the field of bioinformatics since it is critical for evolutionary studies and disease identication. With the exponential growth of gene bank size, the need to intelligibly capture, manage and analyse the ever-increasing amount of publicly available genomic data became one of the major challenges faced by bioinformaticians today.The paper proposes a new method to represent point mutation by effectively reclassifying the DNA sequences on the basis of occurence of point mutation to form a mutation hierarchy which considerably reduces the memory space requirement for storage and heavily reduces the complexity in data mining.
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Sudarsan, D., Mahalingam, P.R., Jisha, G. (2011). A Novel Approach to Represent Detected Point Mutation. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_15
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DOI: https://doi.org/10.1007/978-3-642-22726-4_15
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