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A comprehensive survey on genome sequence analysis

机译:基因组序列分析的全面调查

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摘要

This paper is an attempt to highlight the fundamental approaches, algorithms and techniques being employed in interesting areas of Computational Biology. The comparative analysis of genomic sequences, micro-array technology, phylo-genetic tree, alignment matters, maximum sequence search and protein structure prediction are some of NP hard problems. There has been no direct solution proposed so far. Approximate and optimal solutions have been devised using different tools. We have compared different approaches in various domains with the aid of exemplary data. We assigned different weight values for relevant features and obtained scores in comparison and alignment phenomenon. We classified sequence analysis to be a broader domain encapsulating visualization, pattern recognition, motif concentration and structure prediction. Different techniques and approaches have been evaluated and compared. It was analyzed that some approaches suitable for certain domains may not be recommended to employ for other domains. The usefulness of this analysis has been explored and further future expectations have been described.
机译:本文试图突出计算生物学中有趣领域所采用的基本方法,算法和技术。对基因组序列的比较分析,微阵列技术,系统树,比对问题,最大序列搜索和蛋白质结构预测是NP难题。到目前为止,还没有提出直接的解决方案。已经使用不同的工具设计了近似和最佳解决方案。我们借助示例性数据比较了各个领域中的不同方法。我们为相关特征分配了不同的权重值,并获得了比较和对齐现象的分数。我们将序列分析归类为更广泛的领域,包括可视化,模式识别,基序集中和结构预测。已经评估和比较了不同的技术和方法。据分析,可能不建议将某些适合某些领域的方法用于其他领域。已经探索了这种分析的有用性,并描述了进一步的未来期望。

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