Deprecated: Use of this version of DNMFilter is deprecated. More information on our Applications Support and Retention Policy.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.
Accessing DNMFilter 0.1.1-foss-2018b-R-3.5.1-Java-1.8
To load the module for DNMFilter 0.1.1-foss-2018b-R-3.5.1-Java-1.8 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load DNMFilter/0.1.1-foss-2018b-R-3.5.1-Java-1.8
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- Runiversal 1.0.2
For more information visit the DNMFilter website.
Last modified on 17th June 2019