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相关概念视频

RNA Editing02:23

RNA Editing

9.8K
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...
9.8K
Mismatch Repair01:36

Mismatch Repair

43.5K
Overview
43.5K
Mismatch Repair01:20

Mismatch Repair

6.3K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
6.3K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

11.7K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
11.7K
RNA-seq03:21

RNA-seq

11.8K
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...
11.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K

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相关实验视频

Updated: Jan 17, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K

基于Seq2edit的错误代码自动注释的增强方法.

Jian Wang1,2, Tao Lin1, Rongsen Zhao1

  • 1College of Computer Science, Sichuan University, Chengdu, Sichuan, China.

PeerJ. Computer science
|September 24, 2025
PubMed
概括

这项研究通过增强Seq2edit注释方法来改进自动代码错误校正. 通过考虑源代码的句子结构,它可以提高注释准确性,以获得更好的深度学习模型.

科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程
  • 人工智能的人工智能

背景情况:

  • 深度自然语言翻译模型显示了自动代码错误纠正的前景.
  • 高质量的,大规模的注释数据集对于模型性能至关重要.
  • 目前基于Seq2edit编辑的注释方法在令牌对齐准确性方面面临挑战.

研究的目的:

  • 为代码错误提出一个改进的Seq2edit注释方法.
  • 为了提高自动代码错误注释的准确性.
  • 为代码错误纠正模型优化训练数据集.

主要方法:

  • 开发了一种Seq2edit注释方法,将源代码的句子结构纳入其中.
  • 将代码划分为具有独立含义的语句.
  • 引入了一个成本系数来完善Levenshtein算法,用于编辑距离计算和令牌对齐.

主要成果:

  • 拟议的方法在注释过程中有效地利用源代码的上下文信息.
  • 显示了自动代码错误注释的准确度的显著提高.
  • 通过优化编辑距离计算,增强了令牌对齐功能.
关键词:
标注准确度 标注准确度 标注准确度自动注释 自动注释代码对齐方式 代码对齐方式深度学习是一种深度学习.列文施泰因的算法是这样的.第2节 编辑

更多相关视频

A Nonsequencing Approach for the Rapid Detection of RNA Editing
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A Nonsequencing Approach for the Rapid Detection of RNA Editing

Published on: April 21, 2022

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Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
09:30

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Published on: September 13, 2018

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相关实验视频

Last Updated: Jan 17, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
A Nonsequencing Approach for the Rapid Detection of RNA Editing
08:50

A Nonsequencing Approach for the Rapid Detection of RNA Editing

Published on: April 21, 2022

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Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
09:30

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Published on: September 13, 2018

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结论:

  • 基于句子结构的Seq2edit方法显著提高了自动代码错误注释的准确性.
  • 这一进步有助于创建更大,更准确的数据集来纠正代码错误.
  • 这种方法有可能在软件开发中推进深度学习模型.