@article {Fang:2005:1546-1955:499,
title = "A Genetic Algorithm Approach to Solving DNA Fragment Assembly Problem",
journal = "Journal of Computational and Theoretical Nanoscience",
parent_itemid = "infobike://asp/jctn",
publishercode ="asp",
year = "2005",
volume = "2",
number = "4",
publication date ="2005-12-01T00:00:00",
pages = "499-505",
itemtype = "ARTICLE",
issn = "1546-1955",
eissn = "1546-1963",
url = "https://www.ingentaconnect.com/content/asp/jctn/2005/00000002/00000004/art00004",
doi = "doi:10.1166/jctn.2005.2974",
keyword = "DNA SEQUENCING, BIOINFORMATICS, GENETIC ALGORITHM, FRAGMENT ASSEMBLY",
author = "Fang, Shu-Cherng and Wang, Yong and Zhong, Jie",
abstract = "A genetic algorithm approach for DNA molecule fragment assembly problem is proposed, assuming short, error-less sequences and known total sequence length. This approach maximizes the similarity (overlaps) between given fragments and a candidate sequence. It considers both whole fragments
and the single basepair similarities in the sequence. Special genetic operators are designed to speed up the searching process. The efficiency of the proposed approach is demonstrated by numerical experiments for assembled sequence lengths of up to 100 basepairs, with potential for applications
for longer sequences or sequences of unknown length as well. Main advantages of the approach are its computational speed and accuracy, which could be helpful when nanotechnology-based high-throughput single-molecule DNA sequencing technologies start to produce large amounts of accurate short
sequences.",
}