CovidExpress: an interactive portal for intuitive investigation on SARS-CoV-2 related transcriptomes.
Ontology highlight
ABSTRACT: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in humans could cause coronavirus disease 2019 (COVID-19). Since its first discovery in Dec 2019, SARS-CoV-2 has become a global pandemic and caused 3.3 million direct/indirect deaths (2021 May). Amongst the scientific community's response to COVID-19, data sharing has emerged as an essential aspect of the combat against SARS-CoV-2. Despite the ever-growing studies about SARS-CoV-2 and COVID-19, to date, only a few databases were curated to enable access to gene expression data. Furthermore, these databases curated only a small set of data and do not provide easy access for investigators without computational skills to perform analyses. To fill this gap and advance open-access to the growing gene expression data on
SUBMITTER: Djekidel MN
PROVIDER: S-EPMC8168395 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA