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相关概念视频

Operons02:09

Operons

49.8K
Prokaryotes can control gene expression through operons—DNA sequences consisting of regulatory elements and clustered, functionally related protein-coding genes. Operons use a single promoter sequence to initiate transcription of a gene cluster (i.e., a group of structural genes) into a single mRNA molecule. The terminator sequence ends transcription. An operator sequence, located between the promoter and structural genes, prohibits the operon’s transcriptional activity if bound by...
49.8K
Operon Model01:23

Operon Model

118
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
118
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
Repressible Operon: trp Operon01:21

Repressible Operon: trp Operon

144
The trp operon in Escherichia coli exemplifies a repressible operon. It regulates the synthesis of tryptophan through repressor-mediated transcriptional control and attenuation. This dual regulatory mechanism ensures tryptophan biosynthesis occurs only when needed, conserving cellular resources.Structure of the trp OperonThe trp operon consists of five structural genes (trpE, trpD, trpC, trpB, and trpA) that encode enzymes for tryptophan biosynthesis. These genes are transcribed as a single...
144
Ribosome Profiling02:24

Ribosome Profiling

3.6K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.6K
Inducible Operons: lac Operon01:25

Inducible Operons: lac Operon

157
The lac operon in Escherichia coli is a model for understanding inducible gene regulation and metabolic flexibility. It integrates local control by lactose and global regulation through catabolite repression, enabling E. coli to preferentially metabolize glucose when available and switch to lactose utilization when glucose is scarce.Structure and Function of the lac OperonThe lac operon contains three structural genes: lacZ (β-galactosidase), lacY (lactose permease), and lacA...
157

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相关实验视频

Updated: Sep 13, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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OpDetect:一个卷积和反复的神经网络分类器,用于从RNA-seq数据中精确和敏感地检测操作子.

Rezvan Karaji1, Lourdes Peña-Castillo1,2

  • 1Department of Computer Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.

PloS one
|August 1, 2025
PubMed
概括

OpDetect是一种新的计算方法,用于识别使用RNA测序数据的细菌操作子. 这种深度学习方法提供了更高的准确性和不依赖物种的操作子检测,提高了我们对基因调节的理解.

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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

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

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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:

  • 操作子是 prokaryotes 中的关键遗传结构,调节基因功能和表达.
  • 目前的操作子检测方法往往缺乏跨物种的通用性.
  • 准确的操作子识别对于理解原生生物和一些真核生物的基因调节至关重要.

研究的目的:

  • 开发一种通用且准确的操作子检测计算方法.
  • 利用RNA测序数据来改善操作子识别.
  • 创建一种适用于各种生物体的无物种工具.

主要方法:

  • 开发了OpDetect,一种利用RNA测序读取的新型计算方法.
  • 采用深度神经网络架构,结合卷积层和循环层.
  • 应用该方法来分析基因组数据用于操作子识别.

主要成果:

  • 与现有方法相比,OpDetect在召回,F1得分和AUROC方面表现出卓越的表现.
  • 该方法在各种细菌物种中实现了高精度的操作子检测.
  • OpDetect成功地在真核生物体Caenorhabditis elegans中识别了操作子.

结论:

  • OpDetect为操作子检测提供了一个强大而通用的工具.
  • OpDetect的无物种性质提高了其在比较基因组学中的适用性.
  • 这种方法推进了对 prokaryotes 和以后的基因组织和调节的研究.