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相关概念视频

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Maxam-Gilbert Sequencing01:05

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Updated: Jun 5, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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使用先进的NLP技术破译基因组代码:一个范围审查.

Shuyan Cheng1, Yishu Wei1, Yiliang Zhou1

  • 1Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065.

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此摘要是机器生成的。

自然语言处理 (NLP) 和大型语言模型 (LLM) 正在彻底改变基因组数据分析. 这些先进的AI技术,包括代币化和变压器模型,增强对基因组代码的理解,并有助于预测监管要素.

关键词:
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 人类基因组测序数据庞大而复杂,带来分析挑战.
  • 有效的解释需要先进的计算方法.

研究的目的:

  • 审查自然语言处理 (NLP) 技术,特别是大型语言模型 (LLM) 和变压器架构,用于基因组数据分析.
  • 评估最近关于基因组学NLP的文献中的数据和模型可访问性.
  • 了解NLP工具在处理基因组测序数据中的功能和局限性.

主要方法:

  • 根据系统审查和元分析 (PRISMA) 准则的首选报告项目进行范围审查.
  • 在主要的科学数据库 (PubMed,Medline,Scopus,Web of Science,Embase,ACM数字图书馆) 进行的搜索.
  • 纳入标准侧重于对基因组测序数据应用的NLP方法,没有日期或文章类型的限制.

主要成果:

  • 审查了2021年至2024年4月期间发表的26项研究.
  • 代币化和变压器模型显著改善了基因组数据处理和理解.
  • 应用包括预测监管注释,如转录因子结合点和染色质可访问性.

结论:

  • NLP和LLM提供了一种有希望的方法来简化大规模基因组数据的解释.
  • 这些人工智能工具可以通过高效和可扩展的基因组分析来推进个性化医疗.
  • 需要进一步的研究来解决局限性,提高模型的透明度和提高适用性.