SignalP 5.0b

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 5.0b

To load the module for SignalP 5.0b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load SignalP/5.0b

BEAR Apps Version

2019b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used 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.

More Information

For more information visit the SignalP website.

Required By

This version of SignalP is a direct dependent of: funannotate/1.8.1-foss-2019b-Python-2.7.16 funannotate/1.8.1-foss-2019b-Python-3.7.4

Other Versions

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

Last modified on 12th October 2020