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First, you have to install your own conda, following this: | First, you have to install your own conda, following this: | ||
Once you have it installed, activate your [ | Once you have it installed, activate your [[[Conda_on_ARC#Installing_Conda | Conda]: | ||
$ source ~/software/init-conda | $ source ~/software/init-conda | ||
Revision as of 21:03, 1 October 2024
General
It is a licensed software. One has to agree to the academic license conditions before the download link will be provided.
Installation
First, you have to install your own conda, following this:
Once you have it installed, activate your [[[Conda_on_ARC#Installing_Conda | Conda]:
$ source ~/software/init-conda
Then create a new environment and activate it too:
(base) $ conda create -n signalp6 python=3.11 pip pillow numpy matplotlib tqdm pytorch=1.13 .... (base) $ conda activate signalp6
Download and unpack the installation archive. You have to use the link send to you by email:
(signalp6) $ wget https://services.healthtech.dtu.dk/download/29d.............7e/signalp-6.0h.fast.tar.gz (signalp6) $ tar xfv signalp-6.0h.fast.tar.gz
Change to the software directory and install it with pip
:
(signalp6) $ cd signalp6_fast/signalp-6-package (signalp6) $ pip install . ....
Check if it works:
(signalp6) $ $ signalp6 --version SignalP 6.0 Signal peptide prediction tool 6.0h
Success.