SignalP: Difference between revisions

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= Installation =
= 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:
<pre>
(base) $ conda create -n signalp6 python=3.11 pip pillow numpy matplotlib tqdm pytorch=1.13
....
(base) $ conda activate signalp6
</pre>
Download and unpack the installation archive. You have to use the link send to you by email:
<pre>
(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
</pre>
Change to the software directory and install it with <code>pip</code>:
<pre>
(signalp6) $ cd signalp6_fast/signalp-6-package
(signalp6) $ pip install .
....
</pre>
Check if it works:
<pre>
(signalp6) $ $ signalp6 --version
SignalP 6.0 Signal peptide prediction tool 6.0h
</pre>
Success.


= Links =
= Links =
[[ARC Software]]
[[ARC Software]]

Revision as of 21:02, 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.

Links

ARC Software