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A survey on merging DNA fragments using soft computing algorithm

机译:软计算算法融合DNA片段的研究

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摘要

DNA material is present in all living things and it contains all relative information. DNA material is very long in nature and contains more than 10,000 base pairs. These base pairs contains mainly four element i.e. adenine (A), guanine (G), cytosine(C), thymine (T). To study DNA directly is very difficult task. DNA fragmentation is the separation or breaking of DNA strands into pieces. DNA fragmentation helps in analyzing or processing on DNA fragments. After DNA fragmentation, it requires reconstruction to form original DNA to identify the living thing. Research has shown that the problems like Computational errors, Unknown origin of DNA, Repetition of similar sequence occur while reconstructing the fragments into the original one. To solve or minimize these problems many researchers have proposed different methods. In this paper, several methods are discussed as well as reviewed. Also a new method is proposed. The Proposed algorithm is based on Particle Swarm Optimization (PSO).
机译:DNA物质存在于所有生物中,并且包含所有相关信息。 DNA材料本质上很长,包含10,000多个碱基对。这些碱基对主要包含四个元素,即腺嘌呤(A),鸟嘌呤(G),胞嘧啶(C),胸腺嘧啶(T)。直接研究DNA是非常困难的任务。 DNA断裂是DNA链的分离或断裂。 DNA片段化有助于分析或处理DNA片段。 DNA断裂后,需要重建以形成原始DNA来识别生物。研究表明,将片段重建为原始片段时会发生计算错误,DNA来源未知,相似序列重复等问题。为了解决或最小化这些问题,许多研究人员提出了不同的方法。在本文中,讨论并回顾了几种方法。还提出了一种新方法。提出的算法基于粒子群优化(PSO)。

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