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相关概念视频

Genomics02:02

Genomics

36.3K
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...
36.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K
Next-generation Sequencing03:00

Next-generation Sequencing

88.7K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
88.7K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
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.
18.8K

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相关实验视频

Updated: Jun 28, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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对于人口规模基因组测序研究的高效存储和回归计算.

Manuel A Rivas1, Christopher Chang2

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA 94305.

bioRxiv : the preprint server for biology
|April 25, 2024
PubMed
概括

新的方法大大减少了整个基因组测序 (WGS) 研究的计算和存储需求. 这使得对大规模遗传数据的访问变得民主化,加速了全球生物库对人类健康的发现.

科学领域:

  • 遗传学 是一个遗传学.
  • 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:

  • 大规模的生物库对于人类遗传学研究至关重要.
  • 全基因组测序 (WGS) 研究面临着重大的计算和存储挑战.
  • 由于这些需求,研究能力存在差异,特别是对于资金不足的机构.

研究的目的:

  • 为WGS数据分析开发新的计算方法.
  • 提高大规模遗传研究的效率和减少存储要求.
  • 为了使更广泛的参与人类遗传学研究.

主要方法:

  • 开发了用于压缩遗传数据存储的算法,优化了罕见变异表示.
  • 设计适合WGS数据复杂性的可扩展回归方法.
  • 将新的方法集成到PLINK 2.0中,证明了效率的提高.

主要成果:

  • 实现了显著的存储空间和计算时间的减少.
  • 全外体关联分析的运行时间从~11.5小时减少到9分钟以下.
  • 保持分析准确性,在AllofUs项目数据上进行验证.
  • 扩展方法支持多种现象分析.

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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相关实验视频

Last Updated: Jun 28, 2025

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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结论:

  • 开发的方法大大降低了WGS研究的计算和存储成本.
  • 这一进步使全球人口生物库数据的访问得到了民主化.
  • 人们预计在人类健康和疾病方面会有加速的发现.