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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
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在BV-BRC中的细菌数据的比较基因组分析:探索抗菌耐药性的例子.

Alice R Wattam1, Nicole Bowers2,3, Thomas Brettin2,4

  • 1Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA. wattam@virginia.edu.

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概括

新的细菌和病毒生物信息学资源中心 (BV-BRC) 集成了多个数据库,以帮助研究人员分析基因组数据,包括抗菌素耐药性信息.

关键词:
抗微生物耐药性 抗微生物耐药性在BV-BRC中.细菌 细菌是一种细菌.基因组学就是基因组学.在IRD中,我们可以使用IRD.帕特里克 (PATRIC) 是一个伟大的作家.这就是ViPR,ViPR.病毒 病毒 病毒

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科学领域:

  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.
  • 微生物学 微生物学

背景情况:

  • 基因组数据分析给研究人员带来了计算挑战.
  • 国家过敏和传染病研究所 (NIAID) 建立了生物信息学资源中心 (BRC) 来支持数据分析.
  • 帕特里克,IRD和ViPR BRC已经合并,形成了BV-BRC.

研究的目的:

  • 引入新合并的细菌和病毒生物信息学资源中心 (BV-BRC).
  • 证明BV-BRC对分析抗菌素耐药性数据的有用性.

主要方法:

  • 将PATRIC,IRD和ViPR集成到一个统一的BV-BRC资源中.
  • 利用增强的基于Web的可视化和分析工具.
  • 使用统一的数据模型进行细菌和病毒研究.

主要成果:

  • 该BV-BRC为细菌和病毒生物信息学提供了一个综合平台.
  • 在BV-BRC中成功分析了抗菌素耐药性数据.
  • 现在可以获得增强的生物信息学服务和工具.

结论:

  • BV-BRC为研究界提供了一个强大的,综合的资源.
  • BV-BRC促进了对OMIC数据的有效分析,包括抗菌素耐药性.
  • 统一资源支持细菌和病毒研究的进步.