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Simulation of the 2JLP Gene Assembly Process in Ciliates

机译:模拟纤毛的2JLP基因组装过程

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The gene assembly process in ciliates consists of a massive amount of DNA excision from the micronucleus and sometimes the rearrangement of the rest of the DNA sequences. Several models exist that describe certain parts of this process. In this research, a simulation is created and tested with real data to test the feasibility of the 2JLP model. Several parameters are introduced in the model that are used to test ambiguities or edge cases of the biological model. Parameters are systematically varied within the simulation to try to find their optimal values. Interestingly, a negative correlation is found between the degree to which the simulation successfully descrambles genes, and a parameter that is used to filter out scnRNAs that are similar to IES specific sequences from the macronucleus. This provides in silico evidence that if a scnRNA consists of both a portion of MDS and IES, then from the perspective of maximizing the accuracy of the descrambling, it is desirable to filter out this scnRNA. The simulator successfully performs the gene assembly process whether the inputs are scrambled or unscrambled DNA sequences. On average, before the proof checking stage that is in the model, the descrambling intermediate genes are 91.1% similar to the descrambled genes. After the proof checking stage, the intermediate genes are 99.4 % similar. We hope that this work and further simulations can serve as a foundation for future computational and mathematical study of descrambling, and to help inform and refine the biological model.
机译:纤毛中的基因组装方法包括来自微核的大量DNA切除,有时重新排列其余的DNA序列。存在一些描述该过程某些部分的模型。在本研究中,使用真实数据创建和测试模拟以测试2JLP模型的可行性。在模型中引入了几个参数,用于测试生物模型的模糊或边缘案例。在模拟中系统地变化参数以尝试找到其最佳值。有趣的是,在模拟成功解扰基因的程度之间发现了负相关,以及用于过滤出类似于来自Macronus的IES特定序列的SCNRNA的参数。这提供了Silico证据,如果SCNRNA由MDS和IES的一部分组成,则从最大化解扰的准确性的角度来看,希望过滤出该SCNRNA。模拟器成功执行基因组装过程是否输入扰扰或未加入的DNA序列。平均而言,在模型中的证据检查阶段之前,解扰中间基因的解扰中间基因与解扰基因相似91.1%。在证据检查阶段之后,中间基因相似99.4%。我们希望这项工作和进一步的模拟可以作为对解扰的未来计算和数学研究的基础,并帮助通知和优化生物学模型。

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