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相关概念视频

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.
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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Protein Networks02:26

Protein Networks

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Gene Families01:57

Gene Families

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Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
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Nucleic Acid Structure01:25

Nucleic Acid Structure

5.9K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
5.9K
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...
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相关实验视频

Updated: May 22, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

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在生物信息学中建立基础模型.

Fei Guo1,2, Renchu Guan3, Yaohang Li4

  • 1Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha 410083, China.

National science review
|March 13, 2025
PubMed
概括
此摘要是机器生成的。

基础模型 (FMs) 正在通过高效地分析基因组学,蛋白质组学和药物发现的大数据集来彻底改变生物信息学. 这篇评论指导科学家在为计算生物学进步选择FM时.

关键词:
生物信息学是一种生物信息学.发现药物的发现.基础模型的基础模型.基因组学就是基因组学.蛋白质组学 蛋白质组学一个单细胞分析.翻译学 翻译学 翻译学 翻译学

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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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: May 22, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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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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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 人工智能的人工智能

背景情况:

  • 基础模型 (FMs) 在生物信息学中变得越来越重要,解决预培训,评估和可解释性方面的挑战.
  • FMs擅长处理大型,未标记的生物数据集,克服昂贵的实验程序的局限性.
  • 这些模型在代表生物实体方面表现出高度准确性,推动了计算生物学方面的创新.

研究的目的:

  • 审查应用到生物信息学基础模型 (FMs) 的最新进展.
  • 为科学家在选择适合各种生物信息学任务的FM指导.
  • 突出人工智能在促进分子生物学和理解分子景观方面的作用.

主要方法:

  • 关于生物信息学基础模型的最新文献的综述.
  • 将FM分类为语言,视觉,图形和多式联络类型.
  • 在基因组学,转录组学,蛋白质组学,药物发现和单细胞分析中分析FM应用.

主要成果:

  • 在各种下游生物信息学任务中,FM已经取得了显著的成功.
  • 在生物实体表示和大数据集管理方面表现出高准确度.
  • 确定了适用于生物信息学挑战的四种主要类型的FM.

结论:

  • 基础模型代表了计算生物学新时代,为科学发现提供了强大的工具.
  • 通过FM,人工智能为分子生物学中的持续创新提供了基础.
  • 有效的FM选择对于最大限度地提高它们在生物信息学研究中的影响至关重要.