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相关概念视频

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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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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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

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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-seq03:21

RNA-seq

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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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Oligosaccharide Assembly01:24

Oligosaccharide Assembly

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Protein glycosylation starts in the ER lumen and continues in the Golgi apparatus. Glycosyltransferases catalyze the addition of sugar molecules or glycosylation of proteins. Usually, these enzymes add sugars to the hydroxyl groups of selected serine or threonine residues to form O-linked glycans or the amino groups of asparagine residues to form N-linked glycans. Different positions on the same polypeptide chain can contain differently linked glycans.
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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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相关实验视频

Updated: Jun 22, 2025

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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在微生物组中通过长时间读取的联合组装图表检测无参考结构变异.

Kristen D Curry1,2, Feiqiao Brian Yu3, Summer E Vance4

  • 1Department of Computer Science, Rice University, 6100 Main St., Houston, TX 77005, United States.

Bioinformatics (Oxford, England)
|June 28, 2024
PubMed
概括
此摘要是机器生成的。

在没有参考基因组的元基因组中,Rhea检测到细菌结构变异 (SVs). 这种方法分析联合组装图,以识别在样本系列中发生变化的SV,帮助微生物进化研究.

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科学领域:

  • 微生物基因组学和生物信息学
  • 大基因组学和人口动态学.
  • 进化生物学和适应性

背景情况:

  • 细菌基因组动态对于理解微生物适应和进化至关重要.
  • 结构变异 (SV) 显著影响细菌进化和基因组异质性.
  • 由于混合菌株和缺乏参考基因组,在元基因组中检测SVs具有挑战性.

研究的目的:

  • 开发一种新的方法,rhea,用于检测细菌元基因组中的SV,而不依赖参考基因组或元基因组组装基因组 (MAGs).
  • 为了使细菌基因组动态和复杂微生物群落进化过程的研究.
  • 在一系列元基因组样本中识别大量增加或减少的SV.

主要方法:

  • 雷亚从一系列中的所有元基因组样本构建了一个单一的协同组合图.
  • 它分析了连续样本之间的图表覆盖范围的日志折叠变化,以调用SVs.
  • 该方法绕过了用于SV检测的参考基因组和MAG的需求.

主要成果:

  • 在模拟的元基因组中,Rhea表现出优于现有的SV和水平基因转移 (HGT) 检测方法的性能,特别是在增加菌株多样性和与参考基因差异的情况下.
  • 该方法成功地确定了环境和发酵食品微生物组的序列改变,与宿主优势相关.
  • 提供了一种多功能方法,用于研究多样化和不良特征的微生物群落中的SVs.

结论:

  • rhea提供了一种强大而创新的方法,用于检测大基因组数据中的细菌结构变异.
  • 该方法增强了我们对微生物基因流动和种群内的进化轨迹的理解.
  • rhea是一个开源工具,促进了对细菌基因组动态的更广泛研究.