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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
Sanger Sequencing01:57

Sanger Sequencing

753.8K
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...
753.8K
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
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.1K
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...
11.1K
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
DNA as a Genetic Template02:05

DNA as a Genetic Template

21.8K
Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
21.8K

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相关实验视频

Updated: Jun 13, 2025

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

基因序列分析模型的构建基于k-mer统计数据.

Dongjie Gao1

  • 1School of Mathematics and Statistics, Heze University, Heze, China.

PloS one
|September 12, 2024
PubMed
概括

一个新的k-mer统计模型提高了复杂DNA结构的基因序列对齐效率. 这种方法提高了分析的准确性,并证明了生物技术中的重要应用价值.

科学领域:

  • 生物技术是生物技术.
  • 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:

  • 基因测序技术正在进步,导致越来越复杂的基因序列.
  • 传统的序列对齐方法与现代基因序列分析的复杂性作斗争.
  • 对复杂基因序列的有效分析对于生物技术的进步至关重要.

研究的目的:

  • 为复杂的基因序列开发一个高效的基因序列对齐分析模型.
  • 用k-mer统计学提高基因序列分析的准确性和速度.
  • 为拟议的序列对齐模型设计和实施应用系统.

主要方法:

  • 利用k-mer统计的D2系列方法来构建基因序列对齐模型.
  • 开发了一种基于前景序列结构将序列分割为不同长度的子序列的策略.
  • 通过确定所选子序列对齐结果中的最大不相似性来确定统计结果.
  • 设计了一个专门的应用系统来实现序列对齐分析模型.

主要成果:

  • 该模型的统计能力与序列覆盖和切割长度直接成比例.
  • 统计功率与K值和模块长度成反比例.
  • 该应用系统表现出高效的性能,最大存储容量为71GB,磁盘容量为135GB.

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Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
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Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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相关实验视频

Last Updated: Jun 13, 2025

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
Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

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  • 该系统在序列对齐分析方面实现了不到2.0秒的运行时间.

    • 结论:

    • 拟议的k-mer统计序列对齐模型为分析复杂的基因序列提供了一个强大的解决方案.
    • 开发的应用系统有效地支持该模型,在基因对齐分析中提供实用实用性.
    • 这种方法对于在生物技术和相关领域推进基因序列分析具有相当大的价值.