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相关概念视频

RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
RNA Structure01:23

RNA Structure

79.9K
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...
79.9K
RNA Structure01:23

RNA Structure

29.6K
29.6K
RNA Structure01:19

RNA Structure

8.0K
The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. 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) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
8.0K
Leaky Scanning02:28

Leaky Scanning

5.8K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.8K
RNA Editing02:23

RNA Editing

10.0K
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...
10.0K

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相关实验视频

Updated: Mar 12, 2026

Identification of Circular RNAs using RNA Sequencing
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Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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LMSCDA:用于预测circRNA和疾病关联的二级结构增强语言模型.

Mian-Shuo Lu, Lei Wang, Meng-Meng Wei

    IEEE journal of biomedical and health informatics
    |March 10, 2026
    PubMed
    概括

    本研究介绍了LMSCDA,这是一种使用语言模型来通过增强特征表示来预测循环RNA疾病关联 (CDA) 的新方法. 该方法显著提高了准确性,有助于疾病诊断和治疗策略.

    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
    • 基因组学就是基因组学.

    背景情况:

    • 循环RNAs (circRNAs) 是关键的非编码RNAs,参与疾病的发病和治疗.
    • 准确预测circRNA疾病关联 (CDAs) 对诊断至关重要.
    • 现有的计算方法往往缺乏对circRNA结构的复杂表示.

    研究的目的:

    • 开发一种新的计算方法,LMSCDA,用于预测CDA.
    • 通过语言模型增强circRNA和疾病的表现.
    • 提高CDA预测的准确性和可靠性.

    主要方法:

    • 使用化学原理计算circRNA二次结构.
    • 采用层次特征提取与注意力机制circRNA结构和语义特征.
    • 使用生物医学语言模型进行疾病语义特征编码.
    • 从circRNA-miRNA和circRNA-disease网络中整合基于网络的行为特征.

    主要成果:

    • 在5倍交叉验证中,LMSCDA实现了高性能,AUC为0.9877和AUPR为0.9881.
    • 与现有模型相比,该方法显示出具有竞争力的结果.

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    相关实验视频

    Last Updated: Mar 12, 2026

    Identification of Circular RNAs using RNA Sequencing
    08:25

    Identification of Circular RNAs using RNA Sequencing

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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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    Use of Alu Element Containing Minigenes to Analyze Circular RNAs
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    Use of Alu Element Containing Minigenes to Analyze Circular RNAs

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  • 一个关于乳腺癌的案例研究证实了前20个预测协会中的19个.
  • 在独立的临床数据集中识别高度差异表达的circRNAs.
  • 结论:

    • LMSCDA提供了一种强大而准确的方法来预测circRNA与疾病的关联.
    • 增强的特征表示显著改善了预测性能.
    • 在疾病诊断和识别新型治疗点方面,LMSCDA具有潜在的应用.