rformassspectrometry/Metabonaut: v1.6.2
Authors/Creators
- 1. Institute for Biomedicine, Eurac Research, Bolzano, Italy
- 2. Chair for Bioinformatics, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, 07743 Jena, Germany
- 3. Limerick Digital Cancer Research Centre, Health Research Institute, School of Medicine, University of Limerick, Limerick, Ireland
- 4. Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
- 5. Biomic AUTh, Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Balkan Center, Thessaloniki, Greece
- 6. Laboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo 650-0047, Japan
- 7. Department of Computing, University of Turku, Turku, Finland
- 8. Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
- 9. Sensing Technologies Laboratory (STL), Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy
- 10. Department of Food Chemistry and Toxicology, University of Vienna, Vienna, Austria
Description
First release since v1.5.0, collecting the work from 1.5.1 through 1.6.2. The main additions are a new vignette on the mzTab-M standard and the ability to run everything in the browser, alongside a substantial reproducibility overhaul of the container.
New
- mzTab-M vignette. mzTab-M file format: import-export of mzTab-M 2.1 files from SummarizedExperiment covers writing a completed analysis to the HUPO-PSI standard reporting format and reading it back, so results leave the R session in a tool-agnostic form.
- Run it in the browser. Metabonaut can now be run without any local installation on the Bioconductor Workshop platform (workshop.bioconductor.org).
Reproducibility
- All packages installed from GitHub in the Docker image are locked to a specific commit: MsIO (0.0.17), RmzTabM (0.99.1), RuSirius (1.0.4).
- The container is pinned to the Bioconductor 3.23 release
(
bioconductor/bioconductor_docker:RELEASE_3_23), and SpectriPy now comes from that release branch. - RmzTabM is installed in the image so the mzTab-M vignette runs.
- The README points to the versioned image tag
(
rformassspectrometry/metabonaut:v1.6.2) rather thanlatest, matching the installation instructions.
An analysis run from this release can therefore be re-executed later in the same environment rather than against whatever the dependencies happen to be at the time.
Vignette updates
- SpectriPy tutorial: updated to the current matchms API, where
ModifiedCosinewas renamed toModifiedCosineGreedy(tested with matchms 0.33.1). This is a pure renaming, the implementation was already greedy; the vignette now also mentions the exactModifiedCosineHungarianalternative. - Dataset Investigation and End-to-End: unfinished and placeholder sections removed, leftover comments cleared and partial sentences completed, so the published vignettes no longer announce content that is not there.
- Using and Creating Metabolomics Data Annotation Resources, LC-MS/MS Data Annotation using R and Python, Normalization and feature selection with the notame package, and the mzTab-M vignette: typos and formatting fixed, several passages expanded or reformulated.
Documentation
- Installation and usage descriptions updated, including the required R version (>= 4.6.0).
- README wording on known issues clarified: all vignettes currently run without problems.
Using this release
docker pull rformassspectrometry/metabonaut:v1.6.2 docker run -e PASSWORD=bioc -p 8787:8787 rformassspectrometry/metabonaut:v1.6.2
Rendered vignettes: https://rformassspectrometry.github.io/Metabonaut/
Files
rformassspectrometry/Metabonaut-v1.6.2.zip
Files
(10.1 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/rformassspectrometry/Metabonaut/tree/v1.6.2 (URL)
Software
- Repository URL
- https://github.com/rformassspectrometry/Metabonaut
- Programming language
- R , Python
- Development Status
- Active