A citizen science approach for sorting genomes
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Date
2018-12-17
Authors
Matin, Anjum
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Abstract
The development of citizen science games requires the implementation of different
game mechanics to make them challenging, interesting and motivating. These mechanics
are often borrowed from commercial video games, but their outcome on the
quality of solutions obtained and player motivation are not fully understood.
Citizen science games can be used to solve complex scientific problems. Genome
sorting is such a complex problem in genomics which is to find the shortest number of
events for transforming one genome to another. Through solving this genome sorting
problem we can also learn much about genome evolution. However, the presence of
duplicate genes in the genomes makes this problem NP-hard.
In this thesis, we propose a citizen science game GeSort which aims at solving the
genome sorting problem even in the presence of duplicate genes. Through this game
we also analyze the effect of showing a timer, an achievable (top) score and a live
leaderboard on players’ scores, puzzle completion time and motivation using different
versions of our citizen science game GeSort.
Description
Keywords
Cittizen Science, Genome sorting
Citation
Singh, Akash, et al. "A Human-Computation Platform for Multi-Scale Genome Analysis." Association for the Advancement of Artificial Intelligence (www. aaai. org). Retrieved from https://www. humancomputation. com/2017/papers/100_human-computation-platform. pdf (2017).