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相关概念视频

RNA-seq03:21

RNA-seq

10.1K
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...
10.1K
piRNA - Piwi-interacting RNAs02:57

piRNA - Piwi-interacting RNAs

6.9K
PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
6.9K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

8.6K
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...
8.6K
RNA Structure01:19

RNA Structure

4.9K
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...
4.9K
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
RNA Interference01:23

RNA Interference

26.1K
RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
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相关实验视频

Updated: Jul 17, 2025

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

8.2K

使用伪RNA序列识别非编码RNA和特征表示学习.

Xian-Gan Chen1, Xiaofei Yang1, Chenhong Li1

  • 1School of Biomedical Engineering, South-Central Minzu University, Wuhan, 430074, China; Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, South-Central Minzu University, Wuhan, 430074, China; Key Laboratory of Cognitive Science(South-Central Minzu University), State Ethnic Affairs Commission, Wuhan, 430074, China.

Computers in biology and medicine
|August 28, 2023
PubMed
概括

这项研究引入了一种新的生物信息学方法,CPPFLPS,用于准确区分非编码RNA (ncRNA) 和编码RNA,使用伪RNA序列和特征表示学习.

关键词:
数据增强数据增强功能表示学习学习的特征表示.机器学习是机器学习.没有编码的RNAs.伪RNA序列是假的

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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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

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相关实验视频

Last Updated: Jul 17, 2025

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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

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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
  • 基因组学就是基因组学.

背景情况:

  • 从编码RNA中准确识别非编码RNA (ncRNA) 在生物信息学中至关重要.
  • 现有的方法在提高ncRNA识别准确度方面面临挑战.

研究的目的:

  • 提出一种新的编码潜在预测器,CPPFLPS,用于增强ncRNA识别.
  • 利用基于伪RNA序列的特征表示学习来提高准确性.

主要方法:

  • 通过使用六个RNA突变模拟来通过数据增强生成伪RNA序列.
  • 使用特征表示学习框架与基线分类器.
  • 利用从基线模型中选择的特征向量来训练最终的预测模型.

主要成果:

  • 拟议的CPPFLPS方法在与现有最先进的方法相比显示出更高的性能.
  • 在区分ncRNAs和编码RNAs方面取得了更高的准确性.

结论:

  • CPPFLPS为ncRNA识别提供了强大而准确的解决方案.
  • 该方法的有效性归因于用伪RNA序列和特征表示学习来增强数据.