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相关概念视频

Genomics02:02

Genomics

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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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Evolutionary Relationships through Genome Comparisons02:54

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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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What is Population Genetics?01:25

What is Population Genetics?

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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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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Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

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Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
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在基因组数据科学健康的劳动力发展:一个世界观.

Sindiswa T Lukhele1, Verena Ras1,2, Nicola Mulder1

  • 11Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Wellcome Discovery Research Platform for Infection, University of Cape Town, Cape Town, South Africa; email: sindi.lukhele@uct.ac.za, vras@capenature.co.za, nicola.mulder@uct.ac.za.

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培养熟练的劳动力对于基因组学来说至关重要,以促进人类健康和生物医学研究. 这需要培训基因数据科学专业人员,以便有效地分析复杂的遗传数据.

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科学领域:

  • 基因组数据科学 基因组数据科学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 基因组学为人类健康和生命科学提供了变革性的潜力.
  • 实现基因组学的好处需要熟练的劳动力来分析复杂的遗传和链接数据集.
  • 测序,机器学习和数据科学方面的进步增加了对生物信息学和数据治理专业知识的需求.

研究的目的:

  • 展示基因组数据科学中劳动力发展的全球概述.
  • 确定研究和临床基因组数据科学应用的基本能力.
  • 检查现有的培训计划,并确定教育差距.

主要方法:

  • 在基因组数据科学中对全球劳动力发展战略的文献综述.
  • 分析能力框架和培训计划.
  • 探索技能发展中的区域方法和挑战.

主要成果:

  • 基因组数据科学专业人员的关键能力包括生物信息学,高性能计算和数据治理.
  • 现有的培训计划和框架在全球范围内显示出差异性.
  • 在教育,基础设施和基因组数据科学培训的可访问性方面存在重大差距.

结论:

  • 培养多元化和熟练的基因组数据科学工作人员对于推进精准医学和公共卫生至关重要.
  • 解决公平的培训准入和跨学科专业知识方面的挑战至关重要.
  • 将基因组数据科学整合到医疗保健中需要战略性劳动力发展举措.