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相关概念视频

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.6K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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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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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...
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Next-generation Sequencing03:00

Next-generation Sequencing

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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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Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

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Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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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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相关实验视频

Updated: Jan 16, 2026

Novel Sequence Discovery by Subtractive Genomics
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Novel Sequence Discovery by Subtractive Genomics

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生物序列表示方法和最近的进展:一篇综述

Hongwei Zhang1, Yan Shi2, Yapeng Wang1

  • 1Faculty of Applied Sciences, Macao Polytechnic University, Macau 999078, China.

Biology
|September 27, 2025
PubMed
概括
此摘要是机器生成的。

生物序列表示方法正在从计算和词嵌入技术演变为先进的大型语言模型 (LLM). 这些基于LLM的方法增强了基因组学,药物发现和疾病预测的机器学习.

关键词:
生物序列的生物序列.这是一种计算式计算.大型语言模型机器学习是机器学习.一个词嵌入的词嵌入.

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Pyrosequencing for Microbial Identification and Characterization
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Pyrosequencing for Microbial Identification and Characterization

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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: Jan 16, 2026

Novel Sequence Discovery by Subtractive Genomics
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Novel Sequence Discovery by Subtractive Genomics

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Pyrosequencing for Microbial Identification and Characterization

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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.
  • 机器学习在生物学中的应用

背景情况:

  • 生物序列表示对于计算生物学中的机器学习至关重要.
  • 方法转换核酸和蛋白质序列,用于增强的预测建模.

研究的目的:

  • 审查和分类生物序列表示方法.
  • 详细介绍不同方法的原理,应用和局限性.
  • 概述该领域的未来方向.

主要方法:

  • 分类为基于计算,基于词嵌入和基于LLM的方法.
  • 对k-mer计数,PSSM,Word2Vec,GloVe和变压器架构 (ESM3,RNAErnie) 的分析.

主要成果:

  • 计算方法捕获统计/进化模式.
  • 词嵌入方法捕捉上下文关系.
  • 基于LLM的方法可以模拟长距离的依赖关系,以在RNA结构预测等任务中获得更高的准确性.

结论:

  • 挑战包括计算复杂性和可解释性.
  • 未来的工作重点是多式联运数据集成和可解释的AI.
  • 进步承诺在药物发现,疾病预测和基因组学中进行变革性应用.