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相关概念视频

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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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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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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相关实验视频

Updated: Jul 28, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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交互式基于Web的服务,用于元基因组数据分析和比较.

Nehal Adel Abdelsalam1,2, Hajar Elshora3,4, Mohamed El-Hadidi5

  • 1University of Science and Technology, Zewail City, Giza, Egypt.

Methods in molecular biology (Clifton, N.J.)
|May 31, 2023
PubMed
概括
此摘要是机器生成的。

超基因组研究产生了大量的数据. 现在,用户友好的网络工具简化了微生物社区分析,使生态系统潜力的有效探索能够在没有编码专业知识的情况下实现.

关键词:
功能性元基因组学是什么转基因组学是指转基因组学.射门枪的测序顺序是什么纳税学是一种分类学.网络工具 网络工具

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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科学领域:

  • 微生物学 微生物学
  • 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:

  • 由于可访问的测序技术,研究微生物群落的metagenomics正在扩大.
  • 由于用户友好的工具有限,分析大型元基因组数据集存在挑战.
  • 甲基因组数据分析对于医学,工业和生态学的应用至关重要.

研究的目的:

  • 引入基于网络的生物信息学工具,用于元基因组数据分析.
  • 为缺乏编程技能的研究人员提供指南.
  • 突出这些工具在了解微生物生态系统方面的有用性.

主要方法:

  • 审查和引入几个基于网络的生物信息学服务.
  • 展示这些工具如何促进分类学分类和功能分析.
  • 解释如何比较生态系统和识别微生物相互作用.

主要成果:

  • 基于Web的工具可以有效地分析元基因组数据.
  • 这些平台提供了用户友好的界面,用于分类学和功能分析.
  • 研究人员可以可视化有关微生物社区组成和功能的关键数据.

结论:

  • 基于网络的生物信息学工具使元基因组数据分析民主化.
  • 这些资源使研究人员能够有效地探索微生物生态系统.
  • 简化分析加速了各种科学领域的发现.