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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

19.3K
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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Next-generation Sequencing03:00

Next-generation Sequencing

92.5K
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....
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Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

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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...
11.4K
Sanger Sequencing01:57

Sanger Sequencing

756.9K
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...
756.9K
RNA-seq03:21

RNA-seq

10.4K
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...
10.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.1K
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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相关实验视频

Updated: Sep 8, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Ultra-long Read Sequencing for Whole Genomic DNA Analysis

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从长读DNA测序数据中分阶段基因组组的当前进展

Jorge Ivan Diaz-Riaño1, Jorge Duitama2

  • 1Systems and computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.

Methods in molecular biology (Clifton, N.J.)
|July 30, 2025
PubMed
概括

本章详细介绍了基因组组装算法,重点关注复杂基因组的长读测序. 它涵盖数据结构,脚手架,分阶段技术,评估指标和特定工具,如FALCON和HiCanu.

科学领域:

  • 基因组学就是基因组学.
  • 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:

  • 基因组组装是基因组学的基础,长时间读取的测序推进了复杂的基因组构建和分阶段.
  • 精确的基因组组装对于理解遗传变异和生物功能至关重要.

研究的目的:

  • 为基因组组装提供算法技术的全面概述,强调分阶段组装.
  • 描述基本的数据结构,架构方法和高质量基因组构建的评估指标.

主要方法:

  • 对不分阶段组装的重叠图和德布莱恩图进行审查.
  • 三元数据和Hi-C的描述,用于远程脚手架和分阶段.
  • 分析了FALCON,HiCanu,Hifiasm和NGSEP中的核心算法,用于分阶段组装.

主要成果:

  • 详细解释了对未分相和分相基因组组装的算法方法.
  • 介绍评估基因组组装完整性,准确性和基质质量的指标.
  • 关键工具的比较,使高质量的分阶段基因组构造成为可能.

结论:

  • 算法进步,特别是长期阅读的技术,已经显著改善了阶段性基因组组装.
关键词:
算法算法是一种算法.基因组组装组的基因组组装组哈普洛型是指一种类型.长读数序列的测序阶段化基因组的阶段化

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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

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相关实验视频

Last Updated: Sep 8, 2025

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  • 了解核心数据结构和分阶段技术对于有效利用现代基因组组装工具至关重要.