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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.0K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.0K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.2K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
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Per-Unit Sequence Models01:26

Per-Unit Sequence Models

93
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
93

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相关实验视频

Updated: Jul 17, 2025

A Practical Guide to Phylogenetics for Nonexperts
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A Practical Guide to Phylogenetics for Nonexperts

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AliSim-HPC:一个用于遗传学的平行序列模拟器.

Nhan Ly-Trong1, Giuseppe M J Barca1, Bui Quang Minh1

  • 1School of Computing, College of Engineering, Computing and Cybernetics, Australian National University, Canberra, ACT 2600, Australia.

Bioinformatics (Oxford, England)
|September 1, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了AliSim-HPC,这是一个新的高性能计算工具,用于更快的遗传序列模拟. 它大大缩短了大型数据集的模拟时间,使得先进的遗传学研究和机器学习应用成为可能.

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相关实验视频

Last Updated: Jul 17, 2025

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 人类遗传学 是一个学科.

背景情况:

  • 序列模拟对于评估家族遗传学方法,假设测试和家族遗传学中的机器学习至关重要.
  • 像AliSim这样的现有模拟器是有效的,但由于顺序实现,对于大型数据集是缓慢的.
  • 平行化还没有被广泛应用于序列模拟,为大规模数据生成创造了瓶.

研究的目的:

  • 开发一个高性能计算 (HPC) 版本的AliSim序列模拟器.
  • 为了显著加速模拟大型多重序列对齐,用于遗传学分析.
  • 为了实现更高效的培训数据的生成,用于机器学习应用在植物遗传学.

主要方法:

  • 介绍了AliSim-HPC,一个并行序列模拟工具.
  • 采用多核并行使用OpenMP进行无间隙对齐模拟.
  • 通过消息传递接口 (MPI) 实现多CPU并行,以支持插入-删除模型.

主要成果:

  • 在模拟100个大型无间隙对齐 (3万个序列,1百万个位点) 中实现了153倍的速度提升.
  • 通过使用256个CPU内核,将模拟时间从一天以上缩短到11分钟.
  • AliSim-HPC的MPI版本支持复杂的插入-删除模型,提高了其适用性.

结论:

  • AliSim-HPC提供了一个高效和可扩展的解决方案,用于基因组序列模拟.
  • 该工具大大减少了计算时间,促进了大规模的遗传学研究和ML应用.
  • AliSim-HPC可以作为与IQ-TREE v2.2.3.3集成的开源软件提供.