TY - JOUR
T1 - 2019nCoVAS: Developing the web service for epidemic transmission prediction, genome analysis, and psychological stress assessment for 2019-nCoV
AU - Xiao, Ming
AU - Liu, Guangdi
AU - Xie, Jianghang
AU - Dai, Zichun
AU - Wei, Zihao
AU - Ren, Ziyao
AU - Yu, Jun
AU - Zhang, Le
N1 - Funding Information: This work was supported by National Science and Technology Major Project [2018ZX10201002], China Postdoctoral Science Foundation [2020M673221], and Sichuan University Postdoctoral Research and Development Foundation [2020SCU12056]. Publisher Copyright: © 2004-2012 IEEE.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychological stress assessment for 2019-nCoV. However, transmission prediction models are insufficiently accurate and genome sequence characteristics are not clear, and it is difficult to dynamically assess the public psychological stress state under the 2019-nCoV epidemic. Therefore, this study develops a 2019nCoVAS web service (http://www.combio-lezhang.online/2019ncov/home.html) that not only offers online epidemic transmission prediction and lineage-associated underrepresented permutation (LAUP) analysis services to investigate the spreading trends and genome sequence characteristics, but also provides psychological stress assessments based on such an emotional dictionary that we built for 2019-nCoV. Finally, we discuss the shortcomings and further study of the 2019nCoVAS web service.
AB - Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychological stress assessment for 2019-nCoV. However, transmission prediction models are insufficiently accurate and genome sequence characteristics are not clear, and it is difficult to dynamically assess the public psychological stress state under the 2019-nCoV epidemic. Therefore, this study develops a 2019nCoVAS web service (http://www.combio-lezhang.online/2019ncov/home.html) that not only offers online epidemic transmission prediction and lineage-associated underrepresented permutation (LAUP) analysis services to investigate the spreading trends and genome sequence characteristics, but also provides psychological stress assessments based on such an emotional dictionary that we built for 2019-nCoV. Finally, we discuss the shortcomings and further study of the 2019nCoVAS web service.
KW - 2019-nCoV
KW - COVID-19
KW - Epidemic prediction models
KW - Genome analysis
KW - LAUPs (lineage-associated underrepresented permutations)
KW - Psychological stress assessment
UR - http://www.scopus.com/inward/record.url?scp=85099415474&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/TCBB.2021.3049617
DO - https://doi.org/10.1109/TCBB.2021.3049617
M3 - Article
C2 - 33406042
SN - 1545-5963
VL - 18
SP - 1250
EP - 1261
JO - IEEE/ACM Transactions on Computational Biology and Bioinformatics
JF - IEEE/ACM Transactions on Computational Biology and Bioinformatics
IS - 4
M1 - 9314878
ER -