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相关概念视频

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
RNA-seq03:21

RNA-seq

9.9K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.9K
Next-generation Sequencing03:00

Next-generation Sequencing

88.5K
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....
88.5K
Sanger Sequencing01:57

Sanger Sequencing

753.9K
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...
753.9K
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
Phylogenetic Trees03:21

Phylogenetic Trees

45.3K
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.
45.3K

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相关实验视频

Updated: Jun 16, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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一种简单的方法,通过添加替代对齐的概率来找到相关的序列.

Martin C Frith1

  • 1Artificial Intelligence Research Center, AIST, Tokyo 135-0064, Japan; Department of Computational Biology and Medical Sciences, University of Tokyo, Chiba 277-8568, Japan; Computational Bio Big Data Open Innovation Laboratory, AIST, Tokyo 169-8555, Japan mcfrith@edu.k.u-tokyo.ac.jp.

Genome research
|August 16, 2024
PubMed
概括

本研究引入了一种新的序列对齐方法,该方法总结了替代对齐的概率. 这种方法改善了远距离遗传关系的检测,并且对于序列搜索软件来说是实用的.

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
  • 基因组学就是基因组学.

背景情况:

  • 分析遗传序列依赖于通过序列对齐来识别相关区域.
  • 目前的方法很难准确地评估对齐的统计学意义,并考虑其他可能性.
  • 相关序列的精确对齐仍然不确定,限制了微妙关系的发现.

研究的目的:

  • 开发一种修改后序列对齐方法,以考虑替代对齐.
  • 提高确定序列相似性是否具有统计学意义,而不是由于机会的能力.
  • 改进检测遗传序列之间的远程进化关系.

主要方法:

  • 通过对替代序列对齐的概率进行总和来实现一种新的方法.
  • 修改了标准序列对齐算法,以结合这种概率总和.
  • 通过比较测试评估了该方法在识别远程序列关系方面的表现.

主要成果:

  • 与标准对齐技术相比,新方法在检测远距离关系方面表现出更高的准确性.
  • 该方法为评估序列相似性显著性提供了更强大的统计指标.
  • 该方法显示,实际应用的实施难度和运行时间的增加最小.

更多相关视频

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

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相关实验视频

Last Updated: Jun 16, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.3K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.8K
Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.0K

结论:

  • 开发的序列对齐方法为识别微妙和遥远的遗传关系提供了显著的改进.
  • 它在序列搜索软件中的实际应用是可以通过轻微修改实现的.
  • 这种通用方法可以应用于各种对齐类型,包括DNA-蛋白质与位移的比较.