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相关概念视频

RNA-seq03:21

RNA-seq

9.8K
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...
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RNA Editing02:23

RNA Editing

8.9K
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

8.5K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.5K
RNA Structure01:23

RNA Structure

70.9K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
70.9K
RNA Splicing01:32

RNA Splicing

55.9K
Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
55.9K
Types of RNA01:23

Types of RNA

63.1K
Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA...
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相关实验视频

Updated: May 29, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

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MMnc:用于非编码RNA分类和类注释的多模式可解释的表示.

Constance Creux1,2, Farida Zehraoui1, François Radvanyi2

  • 1Université Paris-Saclay, Univ Evry, IBISC, Evry-Courcouronnes 91020, France.

Bioinformatics (Oxford, England)
|February 1, 2025
PubMed
概括
此摘要是机器生成的。

MMnc使用多模式数据对非编码RNA进行分类,从而达到高精度. 这种可解释的深度学习工具有效地处理缺失的数据,以更好地发现生物标志物和治疗目标.

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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

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相关实验视频

Last Updated: May 29, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

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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:

  • 非编码RNAs (ncRNAs) 起着至关重要的生物学作用,并与疾病有关.
  • 鉴定新型ncRNAs对于识别生物标志物和治疗点至关重要.
  • 对于准确的分类,ncRNA数据的复杂性构成了重大挑战.

研究的目的:

  • 引入MMnc,一种可解释的深度学习模型,用于将非编码RNA分类为功能组.
  • 为了利用多模式数据集成,实现强大的ncRNA表征.
  • 通过可解释的注意力机制,提供ncRNA模式的洞察力.

主要方法:

  • MMnc采用基于注意力的多模式数据集成方法.
  • 它包含多种数据源,包括序列,二次结构和表达式数据.
  • 该模型旨在处理某些样本中缺少的数据源.

主要成果:

  • 在各种非编码RNA类别中,MMnc表现出高的分类准确性.
  • 它的模块化架构支持多种数据模式,性能优于具有有限输入的工具.
  • 该方法对缺失的数据具有弹性,最大限度地提高了可用的信息的实用性.
  • 注意力得分为ncRNA类模式提供了可解释的见解.

结论:

  • MMnc为非编码RNA分类提供了有效和可解释的解决方案.
  • 这种方法有助于更深入地了解ncRNA功能和潜在的应用.
  • 这种工具可以推动基于ncRNA的生物标志物和治疗方法的研究.