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An online coronavirus analysis platform from the National Genomics Data Center
Author(s) -
Zheng Gong,
Jun Zhu,
Cui Ping Li,
Shuai Jiang,
Lijiao Ma,
Bi Xia Tang,
Dong Zou,
Mei Li Chen,
Yu Sun,
Shu Hui Song,
Zhang Zhang,
Jing Xiao,
Yong Xue,
Yi Bao,
Zheng Du,
Wen Zhao
Publication year - 2020
Publication title -
zoological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.933
H-Index - 19
ISSN - 2095-8137
DOI - 10.24272/j.issn.2095-8137.2020.065
Subject(s) - coronavirus , genbank , genome , genomics , annotation , covid-19 , pandemic , computational biology , big data , biology , identification (biology) , virology , computer science , genetics , medicine , gene , disease , data mining , infectious disease (medical specialty) , pathology , botany
Since the first reported severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in December 2019, coronavirus disease 2019 (COVID-19) has become a global pandemic, spreading to more than 200 countries and regions worldwide. With continued research progress and virus detection, SARS-CoV-2 genomes and sequencing data have been reported and accumulated at an unprecedented rate. To meet the need for fast analysis of these genome sequences, the National Genomics Data Center (NGDC) of the China National Center for Bioinformation (CNCB) has established an online coronavirus analysis platform, which includes de novo assembly, BLAST alignment, genome annotation, variant identification, and variant annotation modules. The online analysis platform can be freely accessed at the 2019 Novel Coronavirus Resource (2019nCoVR) (https://bigd.big.ac.cn/ncov/online/tools).