In today’s time, Molecular Science is increasingly dependent on Software Engineering Calculations in the department of Research and Development. Aligning sequences of DNA, RNA is becoming a major part of present-day natural sciences. A hereditary database holds a large amount of unprocessed data that resides very crucial information. A single pair of chromosomes contains approximately 3 billion DNA base pairs. To look through this information, retrieve the connections, and sub-connections in it is a very slow procedure. Therefore, scientists are looking forward toward computer science algorithms for faster retrieval of information. This paper is focused upon using a parallel programming algorithm than the previous alignment algorithms.
CITATION STYLE
Singh, N., Rajput, G., Dixit, Y., & Sehgal, A. (2020). DNA Sequence Alignment Using Dynamic Programming. In Advances in Intelligent Systems and Computing (Vol. 1034, pp. 809–817). Springer. https://doi.org/10.1007/978-981-15-1084-7_79
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