Overview

As COVID-19 -19 epidemic is still spreading worldwide, it poses a serious threat to human health and human life and health. We have developed 2019NCSS Web services to provide 2019nCov sequence sequencing data analysis, 2019nCov mutation simulation and multi-scale epidemic prediction and other online services..

Statistics of gene variation

Based on the principle of nanopore sequencing and COVID-19 replication, we extracted the sequence variation characteristics of 2019-nCov sequencing data and visualized it according to different time and place. This is a query module for sequence variation characteristics. View details

Gene variation simulation

2019ncov can experience more than 100000 scale variations after entering the human body. We abstract the mutation process. For example, in each mutation process, only three bases of 2019ncov gene sequence changed. The variation will accumulate. We use C + + to write a program to simulate 2019ncov mutation. Two analysis functions are provided in this section. View details

Multiscale model

We combined the SEIR model and the sequence variation features we extracted to construct a multi-scale model based on logistic regression algorithm to predict the epidemic situation. Users can input different sequence characteristics and epidemic duration to predict the epidemic trend. View details

Funding Support

This work was supported by ..

Contact Us

Address: College of Computer Science, Sichuan University. No. 24 South Section 1, Yihuan Road, Chengdu Sichuan, China, 610065.
E-mail: xiaoming@scu.edu.cn zhangle06@scu.edu.cn