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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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Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Phylogenetic Trees03:21

Phylogenetic Trees

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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 Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Synteny and Evolution02:31

Synteny and Evolution

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John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
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Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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The genomic history of the Iberian Peninsula over the past 8000 years.

Science (New York, N.Y.)·2019
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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使用主动学习方法学来教授序列分析和分子系谱.

Inmaculada Ortiz Martín1, Ángel Del Espino Pérez1, Estefanía García Luque1

  • 1Department of Cellular Biology, Genetics and Physiology, Faculty of Science, University of Malaga, Malaga, Spain.

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
|October 14, 2024
PubMed
概括
此摘要是机器生成的。

生物信息学对生物科学本科生至关重要,提供了基本技能,如数据分析和编程. 本研究详细介绍了一种主动学习方法,教导分子数据库技能,增强能力发展.

关键词:
积极学习方法是积极学习的方法.生物信息学是一种生物信息学.分子数据库,分子数据库.分子系谱的分子发育.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 分子生物学分子生物学
  • 生物科学教育 生物科学教育

背景情况:

  • 高通量分子生物学产生大量数据,需要生物信息学技能生物科学本科生.
  • 基于能力的课程和积极学习策略越来越多地被采用,以加强学生的技能发展.
  • 生物信息学培训提供了可转移的技能,包括数据分析,编程和跨学科合作.

研究的目的:

  • 实施和评估一个积极的学习策略,教生物信息学技能,为本科生生物学.
  • 为学生介绍分子数据库和基因,蛋白质和基因的信息搜索系统.
  • 评估学生对实践活动及其在智能校园环境中的学习环境的意见.

主要方法:

  • 使用积极学习方法设计和实施了实践课程.
  • 马拉加大学的生物学本科生参加了实践活动.
  • 通过调查收集学生的意见,以评估学习体验的有效性.

主要成果:

  • 积极学习方法促进了分子数据库和信息搜索系统的引入.
  • 学生从事生物信息学与基因,蛋白质和遗传学分析相关的实际应用.
  • 智能校园环境有助于积极和富有成效的学习体验.

结论:

  • 积极学习策略对于培养本科生生物科学学生基本的生物信息学能力是有效的.
  • 与分子数据库的实践经验增强了理解和技能获取.
  • 在智能校园中整合技术和可持续资源可以促进科学教育的最佳学习环境.