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相关概念视频

Protein Networks02:26

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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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Phylogenetic Trees03:21

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Many proteins can be classified into two distinct subtypes - globular or fibrous. These two types differ in their shapes and solubilities.
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相关实验视频

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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系统生物学中的图形数据库:系统性审查

Ilya Mazein1, Adrien Rougny2, Alexander Mazein2

  • 1Medical Informatics Laboratory, University Medicine Greifswald, Walther-Rathenau-Straße 48, Greifswald 17475, Germany.

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概括

图形数据库对于系统生物学至关重要,管理复杂的生物数据. 高效的图形数据库使用将推动未来在这个领域的知识发现.

关键词:
这是一个NoSQL数据库.在RDF中使用RDF.图形数据库 图形数据库网络生物学 网络生物学在本体论上,本体论是存在的.系统生物学 系统生物学

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科学领域:

  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • 图形数据库在科学领域越来越多地被采用,用于处理复杂的相互连接的数据.
  • 它们在系统生物学中的应用对于管理生物数据库,本体学,网络和途径至关重要.

研究的目的:

  • 审查利用系统生物学图形数据库的出版物.
  • 分析特定图形数据库和资源的应用和优势.
  • 讨论标准化工作和知识生成的未来前景.

主要方法:

  • 在PubMed和PubMed Central的综合文献搜索中,查找提到图形数据库的出版物.
  • 出版物按领域和应用进行分类,重点关注路径/网络生物学,本体学和工具.
  • 分析了16个顶级图形数据库和突出资源,如UniProtKB,疾病本体学和Reactome.

主要成果:

  • 在系统生物学应用中发现了图形数据库的广泛使用.
  • 从UniProtKB,疾病本体学和Reactome等资源中强调基于图形的解决方案的好处.
  • 详细介绍了不同图形数据库的各种方法和优势.

结论:

  • 图形数据库的高效设计,查询和维护对于系统生物学知识生成至关重要.
  • 图形数据库有助于生物数据库之间的通信.
  • 知识图的标准化和协调是系统生物学界正在进行的努力.