CoronaTrend visualizes data from dataframes generated using GISAID sequences to show up-to-date mutation informtion in different lineages
The website is live at coronatrend.live
Dataframes are generated using provision.sh.
All SARS-CoV-2 sequences used in CoronaTrend meets the following criteria:
Host: Human
Sequencing Coverage: High
Sequence is Complete: True
N Content: ≤5%
- CoronaTrend is only able to show point mutations such as substitution mutations, insertion mutations, deletion mutations and nonsense mutations.
- Sequences where a position has an ambiguous base (e.g. N) are treated as no mutations.
- Setting 'Increase in Prevalence' to a negative value may cause the graph to fail to load.
- Showing all data from all sequences takes a long time to load.
CoronaTrend is a project coordinated by Miss Chan Lea Tzeching under the supervision of Prof. Kelvin To, along with assistance from Mr. Jonathan Ip.
We gratefully acknowledge all data contributors, i.e. the Authors and their Originating laboratories responsible for obtaining the specimens, and their Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative1, on which this research is based.
- Elbe, S., and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID’s innovative contribution to global health. Global Challenges, 1:33-46. DOI: 10.1002/gch2.1018 PMCID: 31565258
All enquires regarding CoronaTrend can be sent to contact@coronatrend.live.
Author: Chan Lea Tzeching
Email: term@connect.hku.hk