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相关概念视频

Genomics02:02

Genomics

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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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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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What is Genetic Engineering?

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Overview
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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相关实验视频

Updated: Jun 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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基因组语言模型:机遇和挑战

Gonzalo Benegas1, Chengzhong Ye2, Carlos Albors1

  • 1Computer Science Division, University of California, Berkeley.

ArXiv
|July 29, 2024
PubMed
概括

基因组语言模型 (gLMs) 是一种在DNA上训练的大型语言模型 (LLM),为了解基因组功能提供了强大的新方法. 这些模型对预测功能约束和设计DNA序列等应用非常有希望.

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:

  • 大型语言模型 (LLM) 越来越多地影响科学研究,特别是在生物医学领域.
  • 了解生物序列,特别是DNA,是现代生物学的一个关键目标.
  • 基因组语言模型 (gLMs) 利用LLM分析DNA序列,旨在破译基因组功能.

研究的目的:

  • 突出基因组语言模型 (gLMs) 在推进我们对基因组的理解方面的潜力.
  • 展示GLM的关键应用,包括功能约束预测,序列设计和转移学习.
  • 讨论开发和评估glm的关键考虑因素,特别是复杂的基因组.

主要方法:

  • 在DNA序列的庞大数据集上训练大型语言模型 (LLM),以创建基因组语言模型 (gLM).
  • 将gLM应用到诸如预测基因组序列中的功能约束等任务中.
  • 利用gLMs进行de novo序列设计和跨不同基因组数据集的转移学习.

主要成果:

  • 证明了gLMs在预测DNA序列上的功能约束方面的潜力.
  • 展示了gLMs在设计具有所需性质的新型DNA序列方面的能力.
  • 强调了gLMs在转移学习中对基因组数据分析的有用性.

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结论:

  • 基因组语言模型 (gLMs) 在分析和理解基因组数据方面取得了重大进展.
  • 对gLMs的有效开发和评估至关重要,特别是对于大型和复杂的基因组.
  • 对于未来的基因组学和相关生物医学领域的发现,gLMs具有很大的前景.