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Medusa web server

Inputs

Please note that multiple files can be selected (Ctrl + click)

Submission details

The email hash is saved for anonymous statistics on the server usage
By default the results page is visible to anyone that knows the page URL (which is then easier to share to your collaborators). Using a passphrase will ensure a better privacy on your analysis.
Brought to you by

Combo

Florence computational biology group
Department of biology
University of Florence

Cite us

E Bosi, B Donati, M Galardini, S Brunetti, MF Sagot, P Lió, P Crescenzi, R Fani, and M Fondi. MeDuSa: a multi-draft based scaffolder. Bioinformatics (2015): btv171.

Contacts

For feedback, bug reports and other information:

  • combo.unifi@gmail.com
  • medusa-tool@googlegroups.com
  • marco@ebi.ac.uk
  • emanuele.bosi@unifi.it
  • beatrice.donati@gmail.com
  • marco.fondi@unifi.it
  • sara.brunetti@unisi.it
Stand-alone version and source code

You can download medusa and run it from your machine. To contribute to the project have a look at the official repository.

Open-source web-server

This web-server runs using Flask and Redis: you can contribute to the project through the official repository.

web statistics