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Homologous Recombination02:31

Homologous Recombination

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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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DNA as a Genetic Template02:05

DNA as a Genetic Template

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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...
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Updated: Jan 10, 2026

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources
15:28

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources

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在使用双向光束搜索系统的DNA存储系统中高效的痕迹重建.

Zhenhao Gu1,2, Hongyi Xin3, Puru Sharma1

  • 1Department of Computer Science, School of Computing, National University of Singapore, Singapore 117417, Singapore.

iScience
|November 24, 2025
PubMed
概括

我们开发了一种新的DNA数据存储算法,可以更快,更准确地重建序列. 这种双向光束搜索 (BBS) 方法提高了DNA数据存储的效率和可靠性.

关键词:
生物计算方法生物计算方法计算方法的计算方法.数据存储表示数据存储表示信号重建的重建信号的重建

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 数据存储数据存储数据存储

背景情况:

  • DNA 数据存储是一个快速增长的领域,需要高效的解码算法.
  • 目前用于痕迹重建的方法通常使用对齐或读取校正,这些方法在速度和通用性上有局限性.
  • 这些现有方法在复杂的数据集和固定的错误率假设方面扎.

研究的目的:

  • 开发一种新,高效和准确的算法,用于DNA数据存储中的痕迹重建.
  • 通过引入概率方法来解决现有方法的局限性.
  • 为了提高从杂的DNA序列解码数据的速度和可靠性.

主要方法:

  • 使用k-th级马尔科夫链模型进行痕迹重建的概率公式.
  • 确定马尔科夫链最可能生成的共识序列.
  • 开发用于线性时间共识重建的双向光束搜索 (BBS) 算法.

主要成果:

  • 双向光束搜索 (BBS) 算法在线时间内重建共识序列.
  • 在多个公开的纳米孔测序数据集上,BBS实现了最高级别的准确性.
  • BBS比现有的痕迹重建方法快大约20倍.

结论:

  • 建议的概率方法和BBS算法显著提高了DNA数据存储效率.
  • BBS为解码噪音DNA测序读取提供了更具通用性和更快的解决方案.
  • 这项工作有可能推动DNA数据存储系统的实际应用.