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相关概念视频

Mutations01:39

Mutations

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Mismatch Repair01:20

Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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Genetic Lingo01:11

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Mutation, Gene Flow, and Genetic Drift01:09

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Incomplete Dominance01:43

Incomplete Dominance

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Pleiotropy01:33

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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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相关实验视频

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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基于大型语言模型的突变在遗传改进中的突变.

Alexander E I Brownlee1, James Callan2, Karine Even-Mendoza3

  • 1University of Stirling, Scotland, UK.

Automated software engineering
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概括
此摘要是机器生成的。

大型语言模型 (LLM) 在基于搜索的软件工程 (SBSE) 中作为突变运营者表现有前途,用于基因改进 (GI). 与传统方法相比,LLM产生较少,但更有效的,通过测试的代码编辑.

关键词:
基因改进是一种基因改进.大型语言模型.

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科学领域:

  • 软件工程 软件工程 软件工程
  • 人工智能的人工智能

背景情况:

  • 大型语言模型 (LLM) 在软件工程中越来越多地使用.
  • 将LLMs与基于搜索的软件工程 (SBSE) 结合起来,用于基因改进 (GI) 仍未得到充分探索.

研究的目的:

  • 评估LLM作为SBSE中的GI的突变运营商.
  • 评估不同LLM,提示和软件项目的LLM生成代码编辑的有效性.

主要方法:

  • 在五个现实世界软件项目中使用了三个LLM和三个提示类型.
  • 采用随机抽样和本地搜索进行编辑生成.
  • 对LLM生成的代码编辑失败进行了定性分析.

主要成果:

  • 与传统的声明GI编辑相比,LLM产生了更少的独特编辑.
  • 在LLM生成的编辑中,编译和通过测试的频率更高 (OpenAI:77%).
  • 在识别运行时间改进方面,OpenAI和Mistral LLMs表现相似;更简单的提示更有效.

结论:

  • 对于SBSE,LLM为GI中的传统突变运营商提供了一个可行的替代方案.
  • 虽然LLM生成的编辑次数较少,但它们在生成功能代码时的成功率更高.
  • 常见的故障模式包括格式不一致,无效语法和拒绝生成解决方案,需要进一步研究提示工程和模型改进.