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DrovePred: Server for DNA stem and BIME's prediction using Particle Swarm Optimization

机译:DROVEPRED:使用粒子群优化的DNA Step和BIME的预测服务器

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Stem prediction has been a problem that has attracted the attention of bioinformaticians for a long time. With important role in central dogma of prokarryotes and eukaryotes alike along with known role in viral genome encapsidation, the importance of DNA/RNA stems cannot be neglected. Bacterial interspersed Mosaic Elements known as BIMEs play an important regulatory role in bacterial replication. Similarly, predicted DNA thermodynamic properties can help us in manipulating and understanding the dynamics of DNA denaturation and renaturation in a far better manner. Particle Swarm Optimization (PSO) is an important evolutionary algorithm based on swarm intelligence to solve NP optimization problems. This paper proposes a PSO based algorithm for predicting DNA/RNA stems, BIMEs and DNA thermodynamic properties.
机译:词干预测是一个很长一段时间吸引了生物信息管理员的问题。具有在中央文献中的重要作用,并且真核生物以及在病毒基因组封装中的已知作用中,DNA / RNA茎的重要性不能被忽略。被称为Bimes的细菌间隙是在细菌复制中发挥着重要的调节作用。类似地,预测的DNA热力学性质可以帮助我们操纵和理解DNA变性和更好的更好的变性和复放的动态。粒子群优化(PSO)是一种基于Swarm智能来解决NP优化问题的重要进化算法。本文提出了一种基于PSO的算法,用于预测DNA / RNA茎,泡沫和DNA热力学性质。

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