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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Gómez-Muñoz, C. Fischer, G. |
| Abstract | Background Ploidy, representing the number of homologous chromosome sets, can be estimated from flow cytometry data acquired on cells stained with a fluorescent DNA dye. This estimation relies on a combination of tools that often require scripting, individual sample curation, and additional analyses. Results To automate the ploidy estimation for multiple flow cytometry files, we developed MuPETFlow—a Shiny graphical user interface tool. MuPETFlow allows users to visualize cell fluorescence histograms, detect the peaks corresponding to the different cell cycle phases, perform a linear regression using standards, make ploidy or genome size predictions, and export results as figures and table files. The tool was benchmarked with known ploidy datasets from yeast and plant species, yielding consistent ploidy results. MuPETFlow's peaks detection and performance were also compared to those of other tools. Conclusions MuPETFlow stands out as the only tool offering in-app ploidy detection, multiple peak detection, multi-sample visualization, and automation capabilities. These features significantly accelerate the analysis, making it especially valuable for projects involving large datasets. |
| Related Links | https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-025-11470-8.pdf |
| Ending Page | 5 |
| Page Count | 5 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712164 |
| DOI | 10.1186/s12864-025-11470-8 |
| Journal | BMC Genomics |
| Issue Number | 1 |
| Volume Number | 26 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2025-03-26 |
| Access Restriction | Open |
| Subject Keyword | Life Sciences Microarrays Proteomics Animal Genetics and Genomics Microbial Genetics and Genomics Plant Genetics and Genomics Cytometry Ploidy Genome Software Graphical user interface |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biotechnology Genetics |
| Journal Impact Factor | 3.5/2023 |
| 5-Year Journal Impact Factor | 4.1/2023 |
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