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相关概念视频

Genetic Lingo01:11

Genetic Lingo

Overview
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Gene Families01:57

Gene Families

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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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.
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Gene Families01:57

Gene Families

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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Updated: Jun 9, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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FGeneBERT:功能驱动的预训练基因语言模型用于元基因组学.

Chenrui Duan1,2, Zelin Zang3, Yongjie Xu1,2

  • 1College of Computer Science and Technology, Zhejiang University, No. 866, Yuhangtang Road, 310058 Zhejiang, P. R. China.

Briefings in bioinformatics
|April 11, 2025
PubMed
概括
此摘要是机器生成的。

FGeneBERT是一种新的元基因组模型,使用基于蛋白质的基因上下文来改善对基因关系和功能的理解. 它在各种元基因组数据集上胜过现有的方法.

关键词:
它们是DNA DNA DNA DNA.转基因组学是指转基因组学.预先训练的语言模型语言模型.变压器的变压器是一个变压器.

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科学领域:

  • 计算生物学和生物信息学
  • 基因组学和元基因组学
  • 系统生物学 系统生物学

背景情况:

  • 来自不同环境 (海洋,土壤) 的元基因组数据对于了解健康和生态系统至关重要.
  • 目前基于K-mer的方法在捕捉基因上下文,生物含义和复杂的基因关系方面扎.
  • 现有的方法未能有效地编码具有生物意义的基因,并解决固有的数据复杂性,如一对多的关系.

研究的目的:

  • 引入FGeneBERT,一种用于增强元基因组数据分析的新型预训练模型.
  • 克服K-mer方法在捕获基因上下文和生物相关性的局限性.
  • 改进对基因间关系和基因序列功能关联在元基因组数据集中的理解.

主要方法:

  • 开发了FGeneBERT,这是一个基于蛋白质的基因表征作为代码器的元基因学预训练模型.
  • 包含掩盖基因建模,以捕捉基因间的上下文关系.
  • 采用三重增强的元基因学对比学习来阐明基因序列功能关系,预先训练了超过1亿个序列.

主要成果:

  • FGeneBERT在四个层面上表现出卓越的表现:基因,功能,细菌和环境.
  • 该模型有效地分析了从1到213k序列的输入大小的元基因组数据集.
  • 关于ATP合成酶和基因操作子的案例研究验证了FGeneBERT的功能识别能力和生物相关性.

结论:

  • FGeneBERT通过提供上下文意识和结构相关的基因表征,在元基因组数据分析中取得了重大进展.
  • 该模型的基于蛋白质的方法和高级学习策略增强了对复杂基因相互作用和功能的理解.
  • FGeneBERT显示出在元基因组研究中的各种应用的巨大潜力,从复杂的数据集中改进生物洞察力.