Emerging Clostridioides difficile ribotypes have divergent metabolic phenotypes
<p>Dataset of multi-well plate reader files related to the analysis of the growth of <em>C. difficile</em> isolates on differnet carbon substrates. </p> <p><strong>Data Collection. </strong>This<strong> </strong>dataset accompanies an <em>mSystems</em> article which is available at <a href="https://doi.org/10.1128/msystems.01075-24">https://doi.org/10.1128/msystems.01075-24</a>. The "Materials and Methods" section in this article fully describes the biological nature of these samples and how the samples were processed and analyzed. </p> <p><strong>Repository Content. </strong>The <em>amiga</em> folders contains both the raw data (see <em>data</em> and <em>mapping </em>sub-folders), intermediate outpus (see <em>dervied</em> sub-folders), and final outputs (see <em>figures</em> and <em>summary</em> sub-folders). Each <em>amiga </em>folder corresponds to a single working directory analyzed by the <a href="https://github.com/firasmidani/amiga"><em>AMiGA</em></a> software. For the <em>amiga-biolog</em> directory, the <em>notes</em> sub-folder also includes text files related to flagging plates and wells for quality issues.</p> <p><strong>Data Organization. </strong>Growth plate data are organized by the following experiments. </p> <ul> <li>biolog</li> <li>validation</li> <li>ribotype-255</li> <li>clade-5</li> <li>yeast-extract-biolog</li> <li>yeast-extract-validation</li> </ul> <p><strong>Data Analysis. </strong>Code used for manipulating and analyzing these samples is also publicly available on GitHub (<a href="https://github.com/firasmidani/cdiff-biolog-growth">https://github.com/firasmidani/cdiff-biolog-growth</a>) under the GNU GPL-3.0 license. The scripts in "analyze-code" can be used to analyze all data and the scripts in the "generate-figures" folder can be used to reproduce all figures included in the manuscript. See the GitHub repository for instructions on how to do so. </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- August 13, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.12626877
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.