DNMFilter

DNMFilter is a machine learning based tool designed to filter out false positive de novo mutations (DNMs) obtained by any computational or manual approaches from next generation sequencing data. It can be used as either a stand-alone tool to detect DNM or coupled with other commonly used DNM detection tool (GATK UnifiledGenotyper, polymutt, DenovoGear et al.) to improve specificity.

More Information

For more information visit the DNMFilter website.

Available Versions

These versions of DNMFilter are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
0.1.1-foss-2018b-R-3.5.1-Java-1.8 2018b