随着高通量测序技术的迅猛发展,基因组学领域迎来了数据量的爆炸性增长,这对传统生物信息学处理复杂数据模式的能力构成了严峻挑战。在此技术革新的关键时刻,深度学习作为人工智能领域的前沿技术,以其强大的数据解析与模式识别能力,为...随着高通量测序技术的迅猛发展,基因组学领域迎来了数据量的爆炸性增长,这对传统生物信息学处理复杂数据模式的能力构成了严峻挑战。在此技术革新的关键时刻,深度学习作为人工智能领域的前沿技术,以其强大的数据解析与模式识别能力,为基因组学研究注入了新的活力。本文聚焦于4种核心深度学习模型——卷积神经网络(convolution neural network,CNN)、循环神经网络(recurrent neural network,RNN)、长短期记忆网络(long short term memory,LSTM)及生成对抗网络(generative adversarial network,GAN),系统阐述了它们的基础原理,重点回顾了这些模型近5年在DNA、RNA和蛋白质研究领域的广泛应用。此外,文章进一步探讨了深度学习在畜禽基因组学中的应用案例,揭示了其在遗传特征解析、疾病预防以及遗传改良等领域的潜在应用价值与面临的挑战。通过深入分析,本文旨在阐述深度学习技术在增强基因组数据分析的准确性和处理能力方面的作用,并构建一个概念性框架,以指导畜禽基因组学研究策略的发展及其在具体场景下的应用,进而推动精准农业和遗传改良技术的发展。展开更多
With the rapid development of internet technology,security protection of information has become more and more prominent,especially information encryption.Considering the great advantages of chaotic encryption,we propo...With the rapid development of internet technology,security protection of information has become more and more prominent,especially information encryption.Considering the great advantages of chaotic encryption,we propose a 2D-lag complex logistic map with complex parameters(2D-LCLMCP)and corresponding encryption schemes.Firstly,we present the model of the 2D-LCLMCP and analyze its chaotic properties and system stability through fixed points,Lyapunov exponent,bifurcation diagram,phase diagram,etc.Secondly,a block cipher algorithm based on the 2D-LCLMCP is proposed,the plaintext data is preprocessed using a pseudorandom sequence generated by the 2D-LCLMCP.Based on the generalized Feistel cipher structure,a round function F is constructed using dynamic S-box and DNA encoding rules as the core of the block cipher algorithm.The generalized Feistel cipher structure consists of two F functions,four XOR operations,and one permutation operation per round.The symmetric dynamic round keys that change with the plaintext are generated by the 2D-LCLMCP.Finally,experimental simulation and performance analysis tests are conducted.The results show that the block cipher algorithm has low complexit,good diffusion and a large key space.When the block length is 64 bits,only six rounds of encryption are required to provide sufficient security and robustness against cryptographic attacks.展开更多
文摘随着高通量测序技术的迅猛发展,基因组学领域迎来了数据量的爆炸性增长,这对传统生物信息学处理复杂数据模式的能力构成了严峻挑战。在此技术革新的关键时刻,深度学习作为人工智能领域的前沿技术,以其强大的数据解析与模式识别能力,为基因组学研究注入了新的活力。本文聚焦于4种核心深度学习模型——卷积神经网络(convolution neural network,CNN)、循环神经网络(recurrent neural network,RNN)、长短期记忆网络(long short term memory,LSTM)及生成对抗网络(generative adversarial network,GAN),系统阐述了它们的基础原理,重点回顾了这些模型近5年在DNA、RNA和蛋白质研究领域的广泛应用。此外,文章进一步探讨了深度学习在畜禽基因组学中的应用案例,揭示了其在遗传特征解析、疾病预防以及遗传改良等领域的潜在应用价值与面临的挑战。通过深入分析,本文旨在阐述深度学习技术在增强基因组数据分析的准确性和处理能力方面的作用,并构建一个概念性框架,以指导畜禽基因组学研究策略的发展及其在具体场景下的应用,进而推动精准农业和遗传改良技术的发展。
基金Project supported by the Shandong Province Natural Science Foundation(Grant Nos.ZR2023MF089,R2023QF036,and ZR2021MF073)the Industry-University-Research Collaborative Innovation Fund Project of Qilu University of Technology(Shandong Academy of Sciences)(Grant Nos.2021CXY-13 and 2021CXY-14)+2 种基金the Major Scientific and Technological Innovation Projects of Shandong Province(Grant No.2020CXGC010901)the Talent Research Project of Qilu University of Technology(Shandong Academy of Sciences)(Grant No.2023RCKY054)the Basic Research Projects of Science,Education and Industry Integration Pilot Project of Qilu University of Technology(Shandong Academy of Sciences)(Grant No.2023PX081)。
文摘With the rapid development of internet technology,security protection of information has become more and more prominent,especially information encryption.Considering the great advantages of chaotic encryption,we propose a 2D-lag complex logistic map with complex parameters(2D-LCLMCP)and corresponding encryption schemes.Firstly,we present the model of the 2D-LCLMCP and analyze its chaotic properties and system stability through fixed points,Lyapunov exponent,bifurcation diagram,phase diagram,etc.Secondly,a block cipher algorithm based on the 2D-LCLMCP is proposed,the plaintext data is preprocessed using a pseudorandom sequence generated by the 2D-LCLMCP.Based on the generalized Feistel cipher structure,a round function F is constructed using dynamic S-box and DNA encoding rules as the core of the block cipher algorithm.The generalized Feistel cipher structure consists of two F functions,four XOR operations,and one permutation operation per round.The symmetric dynamic round keys that change with the plaintext are generated by the 2D-LCLMCP.Finally,experimental simulation and performance analysis tests are conducted.The results show that the block cipher algorithm has low complexit,good diffusion and a large key space.When the block length is 64 bits,only six rounds of encryption are required to provide sufficient security and robustness against cryptographic attacks.
