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相关概念视频

Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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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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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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复制哈卡通:通过培训促进生物信息学中的可复制性.

Thomas Cokelaer1,2, Sarah Cohen-Boulakia3, Frédéric Lemoine2,4

  • 1Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France.

Bioinformatics (Oxford, England)
|June 30, 2023
PubMed
概括
此摘要是机器生成的。

将可重复性培训整合到Master中

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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
  • 科学复制性 科学复制性

背景情况:

  • 复制性危机需要更好的生物信息学数据分析实践.
  • 可复制性的工具已经存在,但面临着采用挑战.
  • 士级教育是广泛采用的关键.

研究的目的:

  • 介绍Reprohackathon,一个旨在教授生物信息学可重现性的士课程.
  • 评估将可重现性概念和工具整合到士课程中的有效性.

主要方法:

  • 一个为期3年的士课程 (Reprohackathon) 涉及123名学生.
  • 课程涵盖可重现性挑战,版本控制,容器化和工作流系统.
  • 学生承担一个3-4个月的项目,重新分析已公布的数据.

主要成果:

  • 实施可重复分析是复杂的,需要大量的努力.
  • 深度教学显著提高了学生对可重复生物信息学的理解和技能.
  • 该 Reprohackathon 提供了关于教学可重复性的宝贵见解.

结论:

  • 士课程对于建立可重复性作为生物信息学标准至关重要.
  • 专门的培训提高了学生进行和分享可重复数据分析的能力.
  • Reprohackathon模型有效地解决了对实际可重复性技能的需求.