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相关概念视频

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.
Golden rice
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Genomics02:02

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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-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Plants have the impressive ability to create their own food through photosynthesis. However, plants often require assistance from organisms in the soil to acquire the nutrients they need to function correctly. Both bacteria and fungi have evolved symbiotic relationships with plants that help the species to thrive in a wide variety of environments.
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相关实验视频

Updated: May 25, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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假设微生物与疾病之间的机制联系,使用知识图表.

Brook E Santangelo1, Michael Bada2, Lawrence E Hunter2

  • 1Department of Biomedical Informatics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA. brook.santangelo@cuanschutz.edu.

Scientific reports
|February 26, 2025
PubMed
概括
此摘要是机器生成的。

知识图现在可以生成肠道微生物组和疾病联系的机制性假设. 这种使用MGMLink的方法有助于理解宿主微生物相互作用,用于诸如炎症性肠病和帕金森病等疾病.

关键词:
计算生物学是一种计算生物学.嵌入方法 嵌入方法知识图是知识图.微生物组是一个微生物组.

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科学领域:

  • 生物医学信息学是生物医学信息学.
  • 微生物组研究的研究.
  • 系统生物学 系统生物学

背景情况:

  • 肠道微生物组的改变与各种疾病有关.
  • 在疾病中对宿主-微生物相互作用的机制理解是具有挑战性的.
  • 知识图有效地代表复杂的生物概念.

研究的目的:

  • 展示知识图的潜力,以假设在疾病中对宿主-微生物相互作用的机械解释.
  • 开发一种可扩展和全面的方法来生成这些假设.

主要方法:

  • 构建一个知识图 (MGMLink) 连接微生物,基因和代谢物.
  • 在知识图中使用最短路径或基于模板的搜索.
  • 应用一种新的路径优先设定方法来推断假设.

主要成果:

  • 开发的方法支持推断观察到的微生物疾病表型关系的机械学假设.
  • 在炎症性肠道疾病和帕金森病中有明显的应用.
  • 这种方法可以实现可扩展和全面生成机械学假设.

结论:

  • 知识图,特别是MGMLink,为阐明肠道微生物群与疾病之间的机制联系提供了一个强大的工具.
  • 这种方法有助于更深入地了解复杂的宿主-微生物相互作用.
  • 这种方法对生物医学研究和疾病机制发现有重大影响.