GCAC : Galaxy for Compound Activity Classification
Public server: | GCAC server |
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Virtual Machine: | GCAC VM |
Scope: | Tool Publishing |
Summary: | GCAC is a web enabled platform for predictive model building using R and caret package for virtual screening. |
comments
The GCAC is a one stop solution for data generation, data preparation, feature selection, model building, prediction and retrival of potential lead molecules.
- GCAC is available as a public server, a virtual machine, and as a tool suite in the Galaxy Toolshed.
user support
quotas
Can be used anonymously, or with a pre-created, or your own account.
citations
GCAC: galaxy workflow system for predictive model building for virtual screening, Deepak R. Bharti, Anmol J. Hemrom and Andrew M. Lynn. BMC Bioinformatics 2019 19 (Suppl 13) :550 doi:10.1186/s12859-018-2492-8
- GCAC tagged publications in the Galaxy Publication library