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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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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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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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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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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. 
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相关实验视频

Updated: Jul 12, 2025

Mapping Genome-wide Accessible Chromatin in Primary Human T Lymphocytes by ATAC-Seq
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基因组序列比较的位置差异和基于频率 (PdF) 的无对齐技术.

Sudeshna Dey1, Papri Ghosh1, Subhram Das1

  • 1Computer Science and Engineering, Narula Institute of Technology, Kolkata, India.

Journal of biomolecular structure & dynamics
|October 27, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的无对齐方法,用于使用位置差异和频率 (PdF) 矢量进行基因组比较. 这种方法为哺乳动物和病毒提供了比以前的技术更精确的进化关系分析.

关键词:
二核酸的表示形式基因组序列比较与比较没有对齐的技术技术.进化关系的演化关系.遗传学树是一种遗传学树.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 基因组序列比较在计算生物学中对于研究和科学应用至关重要.
  • 基于对齐的方法对于大型数据集往往是低效的,需要无对齐的技术.
  • 无对齐方法在序列聚类和确定进化关系方面越来越受欢迎.

研究的目的:

  • 为基因组序列比较引入一种新的无对齐方法.
  • 开发一个强大的矢量描述器来捕获基因组序列特征.
  • 评估拟议方法在构建家谱树的有效性.

主要方法:

  • 开发了一个完整的基于双部分图的位置差异和频率 (PdF) 矢量描述器.
  • PdF描述器使用二核酸表示和两个参数:位置差异和频率.
  • 计算了一个距离矩阵来构建哺乳动物和病毒数据集的家族遗传树.

主要成果:

  • 提出的PdF向量描述器被用来生成基因组序列的16维向量.
  • 用各种数据集的计算距离矩阵构建了家族遗传树.
  • 与FPF,ClustalW,MEV,PCNV和FIS等既定方法相比,PdF方法显示出更精确的结果.

结论:

  • 使用PdF矢量描述符的拟议的无对齐方法对于基因组序列比较是有效的.
  • 该方法显示了分析等长和不等长基因组数据集的潜力.
  • 这种方法提供了一种更精确的替代品,比现有的基因分析技术更精确.