Introduction of DARTS Analysis
An important feature of eukaryotic genes that distinguishes them from prokaryotes is that they have introns. The presence of introns makes the expression of eukaryotic genes have to undergo the important step of RNA splicing. A gene in higher eukaryotes contains multiple introns. Through the regulation of RNA splicing, a gene can be transcribed into multiple different transcripts, thereby encoding multiple proteins, increasing the complexity and adaptability of life. Although RNA-seq technology can better quantify the results of gene expression, it requires a higher sequencing depth for differential splicing analysis. Therefore, for general-depth RNA-seq data, the existing calculation methods cannot accurately quantify gene splicing.
In order to improve the accuracy of RNA-seq quantitative differential splicing, a new computing framework DARTS (Deep-learning Augmented RNA-seq analysis of Tran Splicing) was born with the help of machine learning methods. DARTS combines deep learning with Bayesian hypothesis testing for RNA alternative splicing analysis. It leverages public RNA-seq big data to provide a knowledge base of splicing regulation via deep learning, helping researchers better characterize alternative splicing using RNA-seq datasets even with modest coverage. Accurate results of alternative splicing analysis will have far-reaching significance for further understanding of the regulatory mechanism of alternative splicing in different cell states.
Fig 1. The DARTS computational framework for deep learning-augmented RNA-seq analysis of transcript splicing. (Zhang Z, et al. 2019)
DARTS consists of two parts: Bayesian hypothesis testing (BHT) framework and Deep Neural Network Module (DNN):
MedAI provides RNA-seq analysis of alternative splicing based on DARTS. With the help of artificial intelligence methods, DARTS provides a better means of alternative splicing analysis for data with low sequencing depth, and expands the sensitivity and accuracy of traditional RNA-seq alternative splicing analysis. In addition to DARTS, we also provide other types of software for customers to analyze alternative splicing data. for data analysis, you only need to provide the original data, and we will conduct a complete data analysis based on your research. If you have any questions, please feel free to contact us, we have a professional technical support team to provide you with services.
Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to firstname.lastname@example.org for inquiries.
Tech Trends in Artificial Intelligence What's up, what's down, what lies ahead, only found in MedAI!