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相关概念视频

RNA-seq03:21

RNA-seq

9.9K
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...
9.9K
Nucleic Acids02:43

Nucleic Acids

43.9K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
43.9K
Nucleic Acid Structure01:25

Nucleic Acid Structure

6.0K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
6.0K
RNA Interference01:23

RNA Interference

26.0K
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...
26.0K
Experimental RNAi02:15

Experimental RNAi

6.1K
RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
6.1K
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...
8.9K

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相关实验视频

Updated: Jun 12, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
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An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

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机器学习用于RNA设计:学习

Frederic Runge1, Frank Hutter2,3

  • 1University of Freiburg, Department of Computer Science, Freiburg, Germany. runget@cs.uni-freiburg.de.

Methods in molecular biology (Clifton, N.J.)
|September 23, 2024
PubMed
概括
此摘要是机器生成的。

本章介绍了用于RNA设计的机器学习,重点是learna_tools包. 它详细介绍了用于创建RNA二级结构的自动化深度强化学习.

关键词:
自动机器学习自动化机器学习自动增强学习自动增强学习深度学习 (Deep Learning) 是一种深度学习.机器学习 机器学习一部分RNA设计设计RNA设计RNA设计强化学习是一种强化学习.

更多相关视频

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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RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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相关实验视频

Last Updated: Jun 12, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
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An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated 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 RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

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科学领域:

  • 计算生物学 计算生物学
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 机器学习,特别是深度学习,在分子生物学方面表现有前途.
  • RNA设计是一个复杂的领域,需要先进的计算工具.

研究的目的:

  • 描述RNA设计的机器学习方法.
  • 为了介绍learna_tools Python包用于自动化RNA设计.
  • 解释用于RNA二次结构设计的强化学习概念.

主要方法:

  • 使用深度强化学习算法.
  • 开发了learna_tools Python包,用于自动化RNA设计.
  • 提供了工具使用和应用的明确示例.

主要成果:

  • 证明了自动增强学习对RNA设计的应用.
  • 突出了learna_tools用于基于二级结构的RNA设计的功能.

结论:

  • 机器学习,特别是自动增强学习,为RNA设计提供了强大的方法.
  • 该learna_tools包为RNA设计的研究人员提供了一个实用的资源.