About - ViruClust

How to cite

A paper that describes ViruClust is currently under preparation. If you use ViruClust or use screenshots generated with it please do ensure you credit our website (providing a link back to http://geco.deib.polimi.it/viruclust_gisaid/)

If you use VirusViz, please cite:
A. Bernasconi, A. Gulino, T. Alfonsi, A. Canakoglu, P. Pinoli, A. Sandionigi, S. Ceri. VirusViz: Comparative analysis and effective visualization of viral nucleotide and amino acid variants. Nucleic acids research, 2021. https://doi.org/10.1093/nar/gkab478

If you use data extracted from ViruSurf application, you may cite:
A. Canakoglu, P. Pinoli, A. Bernasconi, T. Alfonsi, D.P. Melidis, S. Ceri. 2021. ViruSurf: an integrated database to investigate viral sequences. Nucleic acids research, 49(D1), pp.D817-D824. https://doi.org/10.1093/nar/gkaa846

If you used the data model, you may cite:
A. Bernasconi, A. Canakoglu, P. Pinoli, S. Ceri. 2020, November. Empowering Virus Sequence Research Through Conceptual Modeling. In International Conference on Conceptual Modeling (pp. 388-402). Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_29

Contacts

Prof. Stefano Ceri

Principal Investigator, Concept Design

stefano.ceri@polimi.it

Luca Cilibrasi

Main Development

luca.cilibrasi@mail.polimi.it

Dr. Pietro Pinoli

Project Leadership

pietro.pinoli@polimi.it

Dr. Arif Canakoglu

Support Development

arif.canakoglu@polimi.it

Dr. Anna Bernasconi

Examples, Storytelling, Testing, Concept Design

anna.bernasconi@polimi.it

Dr. Matteo Chiara

Use cases, Testing

Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano
Via Ponzio 34/5 Milano
20133 Milano
Italy

Third-party software

Acknowledgements

GISAID data acknowledgement

We are grateful to the data contributors who shared the data used in this Web Application via the GISAID Initiative*: the Authors, the Originating Laboratories responsible for obtaining the specimens, and the Submitting Laboratories that generated the genetic sequences and metadata.

* 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

Resources acknowledgements