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相关概念视频

Genomics02:02

Genomics

36.2K
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...
36.2K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
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.
18.8K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
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...
3.5K
DNA as a Genetic Template02:05

DNA as a Genetic Template

21.8K
Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
21.8K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

46.8K
Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
46.8K

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相关实验视频

Updated: Jun 14, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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从使用基因组基础模型的DNA序列提升个性化基因表达预测.

Pratik Ramprasad1, Nidhi Pai1, Wei Pan1

  • 1Division of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, Minneapolis, MN, USA.

HGG advances
|August 29, 2024
PubMed
概括

使用来自大型基因组数据集的预训练嵌入的新人工智能 (AI) 模型显著改善了对个体之间的基因表达差异的预测. 这通过增强人工智能来推进功能性基因组学.

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.
  • 人工智能的人工智能

背景情况:

  • 深度学习 (DL) 模型从DNA序列中预测分子表型.
  • 目前的模型捕捉了基因变异,但与个人之间的差异扎.

研究的目的:

  • 通过使用预先训练的AI嵌入来改善分子表型中个人间差异的预测.
  • 将一个新型变压器模型与最先进的Enformer模型进行比较.

主要方法:

  • 利用了从核酸转换器中预先训练的嵌入物,这是一个在3000多个基因组上训练的基础模型.
  • 训练了一个变压器模型,并将其预测性能与Enformer进行比较,使用290个人的基因型和表达数据.

主要成果:

  • 这种新型模型在预测个人之间的相关性方面显著超过了Enformer.
  • 使用遗传变异的弹性净回归方法缩小了绩效差距.

结论:

  • 大型预训练AI/DL模型,如核酸转换器,显示了推进功能基因组学的巨大潜力.
  • 基础模型在灵活性和解释性方面提供了独特的优势,用于分子表型预测.
关键词:
在这里,我们可以看到AIAIAI.DL DL 是一个字.执行器 执行器核酸变压器 核酸变压器在SNP中,SNP是SNP.弹性净回归弹性回归基础模型 基础模型基因表达的基因表达方式变压器 变压器 变压器

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  • 未来的改进可能会导致人工智能模型在精度上超过基于回归的方法.