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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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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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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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相关实验视频

Updated: Jun 9, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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通过团队合作提高生物信息学软件的质量.

Katalin Ferenc1, Ieva Rauluseviciute1, Ladislav Hovan1

  • 1Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Oslo 0318, Norway.

Bioinformatics (Oxford, England)
|October 22, 2024
PubMed
概括
此摘要是机器生成的。

生物信息学软件开发往往缺乏质量标准. 在计算生物学小组中采用协作团队方法可以提高编码技能和效率,并促进新项目,提高整体软件质量.

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Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
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Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

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Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
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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
  • 软件开发 软件开发

背景情况:

  • 高通量技术增加了对生物信息学软件的需求.
  • 学术生物信息学软件开发往往缺乏质量标准,导致代码难以测试,重复使用和维护.
  • 对科学成就的个人主义方法阻碍了采用最佳软件开发实践.

研究的目的:

  • 在学术研究小组内调查协作方法对生物信息学软件开发质量的影响.
  • 促进软件开发在计算生物学中的最佳实践的采用.

主要方法:

  • 实施了一个可持续的模型,让所有计算生物学小组成员参与学习,分享和讨论软件开发.
  • 在合作框架内保持对研究项目和相关软件产品的个人所有权.
  • 鼓励团队合作,知识共享和编码标准的建立.

主要成果:

  • 组成员表现出改进的编码技能,并成为更有效的生物信息学家.
  • 参与者获得了对同行工作的详细知识,刺激了新的合作项目.
  • 集体努力提高了生物信息学软件的质量和可维护性.

结论:

  • 一种集体的,以团队为基础的软件开发方法显著提高了代码质量,可重复使用性和学术生物信息学中的可维护性.
  • 促进协作软件开发文化对于推进计算生物学研究至关重要.
  • 拥有三名或更多生物信息学家的研究所应该倡导共同努力,以加强软件开发实践.