Dataset and scripts belonging to "Inferring Bacterial Interspecific Interactions from Microcolony Growth Expansion"
<p>Dataset and corresponding analysis scripts underlying the manuscript</p> <p><strong><span>Inferring Bacterial Interspecific Interactions from Microcolony Growth Expansion</span></strong></p> <p><span>by</span></p> <p><span>Tania Miguel Trabajo<sup>1</sup>, Isaline Guex<sup>1,2</sup>, Manupriyam Dubey<sup>1</sup>, Elvire Sarton-Lohéac<sup>1</sup>, Helena Todorov<sup>1</sup>, Xavier Richard<sup>2</sup>, Christian Mazza<sup>2</sup>, Jan Roelof van der Meer<sup>1*</sup></span></p> <p><span>Department of Fundamental Microbiology, University of Lausanne</span></p> <p><span>Department of Mathematics, University of Fribourg</span></p> <p> </p> <p>Readme - main folder structure</p> <p>This dataset and corresponding scripts has six main folders. Within the main folders are further Readme-files for the content of the subfolders.</p> <p>/Colony_segmentation: <br>Contains the python script and instructions on how to segment a TIF set of images from time lapse, and calculate the colony expansion rates, areas and positions from the segmented .npy stack.</p> <p>/data_processing:<br>Contains the main subfolders for the segmented colonies and derived data from all experiments, the corresponding scripts, output plots or .csv tables with data shown in the paper, and a list per figure, table or supplementary on how those data were derived with the indicated scripts.</p> <p>/flow_cytometry_data:<br>Has the data and the processing of the flow cytometry quantification of cells washed from the surface of the patches for the relevant experiments shown in the paper.</p> <p>/Imaging_data:<br>Has subfolders with the individual experiments used for the paper. Subfolder will contain the .npy segmented stacked files and the derived data plus individualized local scripts.</p> <p>/LCMS_data:<br>Has the data and the processing of the growth of the mono-cultures and the swapped supernatants, and the derived LCMS tables with the peak areas in the different samples, as shown in the paper.</p> <p>/Surface_model:<br>Has the actual surface model script and the results of the various simulations. </p>
ShareScore
28/100
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
- 0
- Engagement
- 4