SBCDDB: Sleeping Beauty  Cancer Driver Database

SB Driver Analysis: A Sleeping Beauty cancer driver analysis framework for identifying and prioritizing experimentally actionable oncogenes and tumor suppressors

SBCDDB is an integrated SB data portal housing primary tumor models into an analysis and reporting framework, the Sleeping Beauty Cancer Driver DataBase (SBCDDB,, which identifies drivers in individual tumors or tumor populations. Newberg et al., Published online before print October 20, 2017. doi:10.1093/nar/gkx956

The SBCDDB is built using the SB Driver Analysis framework as reported in Newberg et al., Nucleic Acids Research. 2018. Published online before print May 26, 2018 doi:10.1093/nar/gky450. Learn more and download the source code from


SBCapSeq Protocol

a method for selective cloning of Sleeping Beauty transposon insertions using liquid capture hybridization and Ion Torrent semiconductor sequencing. Mann et al., Published online 03 Aug 2016 at Protocol Exchange. doi:10.1038/protex.2016.053

Dr. Mann preparing SBCapSeq libraries on the Ion Torrent Sequencing platform

Photo courtesy Houston Methodist (Original)

SBsplinkSeq Protocol

a semi-quantiative splinkerette PCR and acoustic shearing method for selective cloning of Sleeping Beauty transposon insertions using multiplex Illumina sequencing. Coming soon!


In Silico Lab Tools

NIH Figshare Instance Datasets

Michael Mann Lab Public Data


Figshare Datasets

Michael Mann Lab Public Data

Useful Web sites