NmTHC:一种基于生成神经机器翻译模型的混合错误校正方法,具有转移学习.
1Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, China.
BMC genomics
|June 7, 2024
概括
这项研究介绍了NmTHC,一种使用神经机器翻译的新型混合错误校正方法,以提高长读序列的精度. NmTHC增强了对齐身份,而不损失读取长度,提供更精确的遗传数据.
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:
- 第三代测序产生了长时间的读数,错误率很高.
- 下一代测序 (NGS) 提供高精度,低成本的短读.
- 需要混合方法来纠正使用短读的长读错误.
研究的目的:
- 为长时间读取开发混合式错误校正方法.
- 为了利用神经机器翻译来提高准确性.
- 创建一个测序技术独立的解决方案.
主要方法:
- 一种基于生成神经机器翻译模型的混合错误校正方法 (NmTHC).
- 使用与循环神经网络 (RNN) 的序列对序列框架.
- 在从对齐的长短阅读中获得的体上训练模型.
主要成果:
- 在PacBio和Nanopore数据集上,NmTHC的性能优于现有的混合错误纠正方法.
- 在没有读取细分的情况下,与参考基因组实现更高的对齐身份.
- 保持长读数的长度优势,同时提高准确性.
结论:
- NmTHC有效地将混合错误纠正转化为机器翻译问题.
- 提供了一种新的自然语言处理 (NLP) 视角来纠正长读错误.
- 提供测序技术独立的,更精确的读数.
相关概念视频
02:07Improving Translational Accuracy
2.6K
2.6K
02:18Types of Genetic Transfer Between Organisms
5.3K
5.3K
02:08Gene Conversion
2.3K
2.3K
01:31Translation
14.8K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
Translation Produces the Building Blocks of Life
Proteins are...
14.8K
02:35Transfer RNA Synthesis
2.8K
2.8K
01:16Non-equilibrium in the Cell
4.4K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.4K