相关实验视频

Updated: Jun 10, 2025

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Published on: September 16, 2019

通过使用2D结构见解的自我基准分析方法来解决所有共同存在的偏差,从而增强RNA-seq分析

Qiang Su^1,2, Yi Long³, Deming Gou⁴

¹Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Nanshan District, Shenzhen, 518055, China.

Briefings in bioinformatics

|October 20, 2024

概括

我们开发了一种新的方法,即基于最小自由能量的高斯自我基准测试 (MFE-GSB),以纠正RNA测序数据中的偏差. 这种方法可以准确地预测k-mer的丰度,并纠正个体k-mer水平上的偏差.

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:

RNA测序 (RNA-seq) 数据容易产生各种偏差,这可能会影响下游分析.
现有的方法往往难以全面解决k-mer计数方案中的所有共存偏差.

研究的目的:

引入基于最小自由能量的高斯自我基准测试 (MFE-GSB) 框架,以进行强大的RNA-seq数据偏差校正.
开发一种方法,使用高斯分布模型减轻单个k-mer水平上的偏差.

主要方法:

MFE-GSB框架使用最小自由能量 (MFE) 概念来建模RNA-seq数据.
它采用双模型系统,将均k-mer分布数据与观察到的非均测序数据进行比较.
用模拟数据的平均值和标准偏差参数化的高斯函数来适应和纠正未知序列数据.

主要成果:

"MFE-GSB框架"准确地预测了不同类别的MFE中的k-mer丰度.
实现了在单个k-mer水平上同时纠正偏差.
使用工程RNA结构和人体组织样本的验证证明了该框架的有效性.

结论:

MFE-GSB框架为RNA-seq数据偏差校正提供了一个强大而通用的解决方案.
这种方法通过有效地解决固有的偏见,提高了RNA-seq数据分析的可靠性.
该方法在不同的RNA样本和实验设计中显示了广泛的适用性.

关键词:

这是高斯分布.多元金融机构-GSB 在RNA-seqqq.这就是K-MER.

更多相关视频

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

相关概念视频

Ribosome Profiling

Ribosome Profiling

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...

RNA-seq

RNA-seq

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...