• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2329-2334
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• 2006

In this paper, we proposed a method complementing failure of combining DNA fragments, defect of conventional contig assembly programs. In the proposed method, very long DNA sequence data are made into a prototype of fragment of about 700 bases that can be analyzed by automatic sequence analyzer at one time, and then matching ratio is calculated by comparing a standard prototype with 3 fragmented clones of about 700 bases generated by the PCR method. In this process, the time for calculation of matching ratio is reduced by Compute Agreement algorithm. Two candidates of combined fragments of every prototype are extracted by the degree of overlapping of calculated fragment pairs, and then degree of combination is decided using a fuzzy reasoning method that utilizes the matching ratios of each extracted fragment, and A, C, G, T membership degrees of each DNA sequence, and previous frequencies of each A, C, G, T. In this paper. DNA sequence combination is completed by the iteration of the process to combine decided optimal test fragments until no fragment remains. For the experiments, fragments or about 700 bases were generated from each sequence of 10,000 bases and 100,000 bases extracted from 'PCC6803', complete protein genome. From the experiments by applying random notations on these fragments, we could see that the proposed method was faster than FAP program, and combination failure, defect of conventional contig assembly programs, did not occur.

• Microbiology and Biotechnology Letters
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• v.25 no.6
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• pp.560-565
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• 1997

DNA fragment assembly is a major concem in shot-gun DNA sequencing project. It is to reconstruct a consensus DNA sequence from a collection of random oritented fragments. We developed a computer program that is useful for DNA fragment assembly. Inputs to the program are DNA fragment sequences including IUB-IUPAC bases. The program produces the most probable reconstruction ot the original DNA sequence as a text format or a PostScript format. The program consists of four phases: the first phase quickly eliminates fragment pairs that can not possibly overlap. In the second phase, the quality of overlap between each pair is calculated to a score. In the third phase, overlap pairs are sorted by their scores and consistency of the overlaps is checked. The last phase determines consensus sequences and displays them. The performance of fragment assembly program was tested on a set of DNA fragment sequences which were generated from long DNA sequences of GenBank by a fragmentation program.