SignalP 6.0h-foss-2022b-fast
There is a newer version of SignalP
The SignalP 5.0 tool predicts the presence of signal peptides and the location of their cleavage sites in proteins from Archaea, Gram-positive Bacteria, Gram-negative Bacteria and Eukarya. In Bacteria and Archaea, SignalP 5.0 can discriminate between three types of signal peptides Sec/SPI (standard signal peptide), Sec/SPII (lipoprotein signal peptide) and Tat/SPI (tat signal peptide). SignalP 5.0 is based on a deep convolutional and recurrent neural network architecture including a conditional random field.Accessing SignalP 6.0h-foss-2022b-fast
To load the module for SignalP 6.0h-foss-2022b-fast please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps/2022b
module load SignalP/6.0h-foss-2022b-fast
BEAR Apps Version
Architectures
EL8-cascadelake — EL8-haswell — EL8-icelake
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 Cloud and CaStLeS 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.
More Information
For more information visit the SignalP website.
Dependencies
This version of SignalP has a direct dependency on: foss/2022b matplotlib/3.7.0-gfbf-2022b Python/3.10.8-GCCcore-12.2.0 PyTorch/1.13.1-foss-2022b SciPy-bundle/2023.02-gfbf-2022b tqdm/4.64.1-GCCcore-12.2.0
Other Versions
These versions of SignalP are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 17th November 2023