Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update deepARG with minor changes for tools deployement #6763

Merged
merged 2 commits into from
Feb 14, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions tools/deeparg/deeparg_predict.xml
Original file line number Diff line number Diff line change
Expand Up @@ -99,14 +99,14 @@
</test>
</tests>
<help>
DeepARG Predict is a computational tool designed to classify and annotate antibiotic resistance genes (ARGs) from nucleotide or protein sequences.
DeepARG Predict is a computational tool designed to classify and annotate antibiotic resistance genes (ARGs) from nucleotide or protein sequences

It takes as input a **fasta nucleotide or protein file** containing short (SS model) or long (LS model) sequences.
It takes as input a **fasta nucleotide or protein file** containing short (SS model) or long (LS model) sequences

DeepARG output
---------------

DeepARG generates two main files: .ARG that contains the sequences with a probability sup or = --prob (0.8 default) and .potential.ARG with sequences containing a probability inf to --prob (0.8 default). The .potential.ARG file can still contain ARG-like sequences, howevere, it is necessary inspect its sequences.
DeepARG generates two main files: .ARG that contains the sequences with a probability sup or = --prob (0.8 default) and .potential.ARG with sequences containing a probability inf to --prob (0.8 default). The .potential.ARG file can still contain ARG-like sequences, howevere, it is necessary inspect its sequences

The output format for both files consists of the following fields:

Expand All @@ -123,7 +123,7 @@ The output format for both files consists of the following fields:
* ALIGNMENT_BESTHIT_EVALUE
* COUNTS

If you want to annotate paired-end short read sequencing data use the DeepARG Short Reads tool.
If you want to annotate paired-end short read sequencing data use the DeepARG Short Reads tool

</help>
<expand macro="citations"/>
Expand Down
6 changes: 3 additions & 3 deletions tools/deeparg/deeparg_short_reads.xml
Original file line number Diff line number Diff line change
Expand Up @@ -136,11 +136,11 @@
</test>
</tests>
<help>
The DeepARG Short Reads Pipeline is a specialized tool for detecting antibiotic resistance genes (ARGs) directly from **paired-end short read sequencing data**.
The DeepARG Short Reads Pipeline is a specialized tool for detecting antibiotic resistance genes (ARGs) directly from **paired-end short read sequencing data**

It provides detailed output files summarizing ARG detection, merged results, subtype and type classifications, potential ARGs, and all detected hits.
It provides detailed output files summarizing ARG detection, merged results, subtype and type classifications, potential ARGs, and all detected hits

If you want to annotate ARGs from assembled contigs, use the DeepARG Predict tool.
If you want to annotate ARGs from assembled contigs, use the DeepARG Predict tool
</help>
<expand macro="citations"/>
</tool>