在变异图谱上绘制全DNA序列

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 Pub Date : 2017-07-31 DOI:10.1145/3110025.3110140

Yuyuan Mao, Jeffrey Zheng, Wenjia Liu

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引用次数: 6

摘要

全DNA序列与大数据流有着天然的联系，对全DNA序列进行分类和可视化是一项具有挑战性的任务。本文提出了一种新的全DNA序列映射方法，利用一种特殊的映射方案将一个全DNA序列转换为多个二维统计概率图。从南美洲的一种夜猴(Aotus Nancymaae)中选取了一个样本病例，从相关地图中观察到有趣的模式。

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Mapping Whole DNA Sequence on Variant Maps

Whole DNA sequence is naturally related to big data streams, it is a challenge task to make a classification and visualization for whole DNA sequences. In this paper, a new mapping method for whole DNA sequence is proposed, and a special mapping scheme is used to transfer a whole DNA sequence as multiple 2D statistical probability maps. A sample case is selected from a night monkey species from south America (Aotus Nancymaae), interesting patterns are observed from relevant maps.

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Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

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