WELCOME TO REBOOT (regression and survival tool with a multivariate bootstrap approach)

A flexible and easy-to-use algorithm to identify and validate genes / transcripts expression signatures and associate it with patient survival. Reboot innovates by using a multivariate strategy with penalized Cox regression (Lasso method) combined with a bootstrap approach. Several statistical tests and images for signature score are generated.

documentation ¹: https://galantelab.github.io/reboot

web tool: https://www.bioinfo.mochsl.org.br/reboot

Run Reboot in 4 easy STEPS:

1. Download this repository either directly or via our Docker container
2. Install Reboot and its dependencies
3. Prepare your input files
4. Run Reboot modules!

Quick usage (CMDs):

• git clone https://github.com/galantelab/reboot.git (direct) | docker pull galantelab/reboot (Docker must be installed)
• sudo sh reboot/install.sh (if 'direct' installation was chosen, dependencies must be manually installed)
• reboot.R complete <options> (direct) | docker run --rm -v $(pwd):$(pwd) galantelab/reboot reboot.R complete <options>

PS: for a complete step by step walkthrough, please refer to our detailed guide at our documentation.

Citation:

If you use either the GUI or the CLI of Reboot, please cite us: Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosis. Felipe R. C. dos Santos, Gabriela D. A. Guardia, Filipe F. dos Santos, Daniel T. Ohara, and Pedro A. F. Galante. NAR Cancer. DOI: 10.1093/narcan/zcab024. PMID: 34316711.

CONTACT

For more information, you are welcome to visit us at our Lab's website!

Footnotes

1. You can contact any of the authors by email. ↩