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相关概念视频

Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...

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相关实验视频

Updated: Jul 16, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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一种自我适应和多功能工具,用于消除大型转录组中的多种不良变异.

Mengji Zhang1,2, Lei Yan1, Xinbo Wang1

  • 1Hangzhou DeepAid Technology Co., Ltd., Hangzhou, Zhejiang Province, China.

Nature biomedical engineering
|July 27, 2025
PubMed
概括

深度神经网络DeepAdapter有效地从转录基因数据中删除不需要的变异. 该工具提高了生物信号检测的准确性,以可靠地发现和分析生物标志物.

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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:

  • 在大规模的转录原子数据中准确识别生物信号对于科学发现至关重要.
  • 来自批量效应,平台差异和样本纯度等来源的不良变化可以掩盖真正的生物信号.

研究的目的:

  • 开发一个通用的深度神经网络,DeepAdapter,用于消除转录基因数据中的各种不良变异.
  • 创建一个灵活和数据驱动的方法,自动学习针对特定数据集量身定制的拒绝策略.

主要方法:

  • 开发DeepAdapter,一个通用的深度神经网络.
  • 训练网络自动学习和应用对转录基因数据的解密策略.
  • 在多个批次,测序平台和异质生物样本中进行评估.

主要成果:

  • 深度适配器成功地减少了批量,测序平台和不同样本纯度的不良变化.
  • 该方法证明了对各种变异的强有力的校正,同时保留了必要的生物信号.
  • 性能超过了手工设计的无声化方案.

结论:

  • 深度适配器是一个多功能工具,用于对大型和异质的转录组数据集进行全面的否定.
  • 这种方法促进了可靠的生物标志物发现,转录组网络分析和生物特征.
  • 深度适配器提供了一种强大的解决方案,用于改善各种应用程序中转录数据的质量和可解释性.