Sequential and parallel algorithms for sequence analysis problems in bioinformatics

The study of biological and genetic information, mostly DNA data, is an extremely important subject which can provide critical information in many areas, such as understanding human diseases or discovering new drugs. A huge number of computing algorithms are developed and available now to help with...

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Bibliographic Details

Main Author:	Xuan Liu
Format:	Default Thesis
Published:	2022
Subjects:	Other information and computing sciences not elsewhere classified Sequence analysis approximate string matching problem exact string matching problem shortest common superstring problem closest string problem heuristic algorithm genetic algorithm simulated annealing algorithm parallel algorithms Information and Computing Sciences not elsewhere classified
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.20027552.v1
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