J-AST: a web-based analysis platform for antimicrobial susceptibility testing - Supplementary data
Authors/Creators
-
1.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
- 2. Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany
- 3. Shmunis School of Biomedical and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv, Israel
- 4. Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Friedrich Schiller University Jena, Germany
Description
Supplementary data for J-AST: a web-based analysis platform for antimicrobial susceptibility testing.
Package contents
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j-ast-source-code.zip - Source code of the application
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J-AST Video Tutorial.mp4 - Tutorial video (same that is hosted on YouTube)
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timeline-example-data-small.zip - Data used in the tutorial video
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timeline-example-data-small-project.jast.zip - Data used in the tutorial video, but as fully annotated J-AST project for testing
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mic-detection-inputs.jast.zip - J-AST project that contains the MIC analysis - can be directly imported into J-AST¹
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mic_analysis_validation.zip - Validation for the MIC analysis
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fig x JAST vs diskImageR.zip and JAST vs diskImageR_project.jast.zip¹ - Data and R scripts required to produce figure 6
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fig x ddas vs etests.zip and ddas vs etests_project.jast.zip¹ - Data and R scripts required to produce figure 5
¹ the size of the project may be beyond the allowance for our public J-AST instance. Please use the desktop application on a desktop computer with Windows 11 or Ubuntu Linux 26.04 and at least 16GB RAM.
System requirements
Web instance
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Any desktop computer with sufficiently large screen (at least 1920x1024)
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Modern web browser (Firefox 150+, Chrome 151+)
Desktop software
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Screen size at least 1920x1024
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Windows 11 / Ubuntu Linux 26.04 / macOS 14²
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At least 16GB RAM
² We do not recommend to run the software on macOS due to dependency on now deprecated x86_x64 components and the macOS security functions interfering with the software
Installation
Free cloud instance
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Register a new guest account
Desktop (Windows 11/Linux/macOS)
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Download J-AST from https://asb.hki-jena.de/j-ast/download
Demo
Please download the timeline-example-data-small-project.jast.zip file.
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Start J-AST (Desktop) or log into our cloud instance
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Click "New Project"
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Set the name to "Demo", ensure that "Timeline" is selected, and select the project ZIP file to be uploaded
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Click "OK" and after the import select the "Demo" project
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Click "Select all" in the right-hand panel and switch to the PROCESS tab
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Scroll down to the "Analyze" category, expand it, and select "DiskImageR (RAD/FoG/ZOI) - Timeline only"
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Confirm the operation with "OK" and wait until it finishes
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Click the "Results" button at the top right screen and click the only item in the list
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You will find the final result in statistics_aio.csv
Running the software on the data
DDA vs ETest comparison
Required data: ddas vs etests_project.jast.zip
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Start J-AST (Desktop) or log into our cloud instance
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Create a new project (Single images) named “MIC analysis”. Select the downloaded ddas vs etests_project.jast.zip file as the project to import.
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Select all images
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Go to the PROCESS tab, select “Analyze”, followed by “DiskImageR (RAD/FoG/ZOI) - Timeline only”
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Confirm with “OK”
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Wait until the process has finished
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Click the “Results” button at the top right of the application and select the generated MIC results
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The statistics_aio.csv file contains the final results
The scripts for the result processing and generation of figures can be found here: fig x ddas vs etests.zip
J-AST vs diskImageR comparison
Required data: JAST vs diskImageR_project.jast.zip
Please note that we will only describe how to apply the J-AST related analysis. If you want to also reproduce the diskImageR results, please download and run diskImageR https://github.com/acgerstein/diskImageR
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Start J-AST (Desktop) or log into our cloud instance
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Create a new project (Single images) named “MIC analysis”. Select the downloaded JAST vs diskImageR_project.jast.zip file as the project to import.
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Select all images
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Go to the PROCESS tab, select “Analyze”, followed by “DiskImageR (RAD/FoG/ZOI) - Timeline only”
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Confirm with “OK”
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Wait until the process has finished
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Click the “Results” button at the top right of the application and select the generated MIC results
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The statistics_aio.csv file contains the final results
The scripts for the result processing and generation of figures can be found here: fig x JAST vs diskImageR.zip
MIC analysis
Required data: mic-detection-inputs.jast.zip
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Start J-AST (Desktop) or log into our cloud instance
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Create a new project (Single images) named “MIC analysis”. Select the downloaded mic-detection-inputs.jast.zip file as the project to import.
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Select all images
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Go to the PROCESS tab, select “Analyze”, followed by “Auto-detect MIC v1”
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Confirm with “OK”
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Wait until the process has finished
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Click the “Results” button at the top right of the application and select the generated MIC results
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The mic_results.csv file contains the final results
The analysis scripts and results can be found here: mic_analysis_validation.zip
Files
ddas vs etests_project.jast.zip
Files
(3.0 GB)
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md5:6962f0b96b64b1d9cad60676370dec78
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Additional details
Related works
- Is identical to
- Lesson: https://youtu.be/KKC7ilyRaPE (URL)
Funding
Software
- Repository URL
- https://github.com/applied-systems-biology/j-ast
- Programming language
- Java