jjalmagro / targetp-2.0 Goto Github PK
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License: Other
Detecting Sequence Signals in Targeting Peptides Using Deep Learning
License: Other
Hello,
not that it matters much but cloning the repository yields the following error:
$ git clone https://github.com/JJAlmagro/TargetP-2.0.git
Cloning into 'TargetP-2.0'...
remote: Enumerating objects: 27, done.
remote: Counting objects: 100% (27/27), done.
remote: Compressing objects: 100% (21/21), done.
remote: Total 27 (delta 10), reused 22 (delta 5), pack-reused 0
Unpacking objects: 100% (27/27), 3.13 MiB | 720.00 KiB/s, done.
Downloading targetp-2.0.Linux/targetp-2.0.Linux.tar.gz (557 MB)
Error downloading object: targetp-2.0.Linux/targetp-2.0.Linux.tar.gz (e3767a5): Smudge error: Error downloading targetp-2.0.Linux/targetp-2.0.Linux.tar.gz (e3767a5b674233be6d19b7f8f67826c096ccdec16d607329a6eb758055142cfe): batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.
Errors logged to TargetP-2.0/.git/lfs/logs/20210608T104321.105198918.log
Use `git lfs logs last` to view the log.
error: external filter 'git-lfs filter-process' failed
fatal: targetp-2.0.Linux/targetp-2.0.Linux.tar.gz: smudge filter lfs failed
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry with 'git restore --source=HEAD :/'
Since CLI is distributed via https://services.healthtech.dtu.dk/software.php, it's perhaps better just to remove the file.
Would it be possible to provide code that takes an amino acid sequence as a string and encodes it in the format of the x
array in data/targetp_data.npz
? Or, if you provide me with the frequency matrix you that was used, I would be happy to contribute code that does that. I understand that each amino acid gets mapped to a 20-mer vector of the substitution frequencies that are used to create BLOSUM62, but I'm not sure where to find the frequency matrix itself
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