Genomic Signature Analysis Platform is enabled by hCoV-19 genome sequence data from the GISAID EpiCoVTM database. The GISAID organisation promotes the rapid sharing of data whilst protecting the acknowledgement rights of data providers
As per requirements from GISAID, if you intend to publish research using the sequence data from GISAID, or the derived data available from Genomic Signature Analysis Platform, you must accept the GISAID Data Access Agreement and appropriately credit (e.g. by attaching as supplementary data) the data contributors. In academic publications, you should also cite the GISAID project itself. Details of how to give appropriate credit are available on the GISAID website.
We also gratefully acknowledge the authors, originating and submitting laboratories of the sequences from GISAID’s EpiCoVTM Database on which this research is based. Access to the individual isolates is facilitated through GISAID.
Bauer, D.C., Tay, A.P., Wilson, L.O., Reti, D., Hosking, C., McAuley, A.J., Pharo, E., Todd, S., Stevens, V., Neave, M.J., Tachedjian, M., Drew, T.W. and Vasan, S. (2020), Supporting pandemic response using genomics and bioinformatics: a case study on the emergent SARS‐CoV‐2 outbreak. Transbound Emerg Dis. Accepted Author Manuscript. doi:10.1111/tbed.13588
 Shu, Y., McCauley, J. (2017) GISAID: Global initiative on sharing all influenza data – from vision to reality EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101