众包基因组序列多序列比对的交互式游戏玩法:Genenigma

D. Meedeniya, S. A. P. A. Rukshan, A. Welivita
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引用次数: 3

摘要

比较基因组学是一个研究领域,通过比较不同生物体的基因组来确定共同模式。这是一种用于识别导致突变的遗传疾病的有效方法。多序列比对(Multiple Sequence Alignment, MSA)是比较基因组学分析的中间步骤,用于比对三个或更多相似长度的生物序列。MSA是一个np困难问题,没有有效的算法可以在合理的时间内完成它。然而,在进化过程中,人类已经发展出了在短时间内识别视觉模式的特殊直觉。因此,可以设计一种公民科学方法来解决MSA问题,通过将其转化为创建视觉上相似的模式的人类计算游戏。在本文中,我们介绍了手机游戏“Genenigma”,它利用人类的计算能力来对齐多个基因组序列,并使用结果来帮助遗传学家理解遗传密码。“Genenigma”的可用性和性能分数预示着它将拥有比现有手机游戏更大的用户基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Gameplay to Crowdsource Multiple Sequence Alignment of Genome Sequences: Genenigma
Comparative genomics is a field of research that compares genomes of different organisms to identify common patterns. It is a powerful method used to identify the genetic diseases that cause mutations. Multiple Sequence Alignment (MSA) is an intermediate step in comparative genomics analysis that aligns three or more biological sequences of similar length. MSA is an NP-hard problem for which no efficient algorithm exists to perform this in a reasonable amount of time. However, humans across evolution have developed special intuition to identify visual patterns in short periods of time. Hence, a citizen science approach can be devised to solve the MSA problem by transforming it into a human computing game on creating visually similar patterns. In this paper, we introduce the mobile game "Genenigma", which harnesses the human computing capability to align multiple sequences of genomes and use the results to help geneticists to understand the genetic code. The usability and performance scores of "Genenigma" predicts a larger user base than existing mobile games built for this purpose.
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