Table 2.
Computational tools for direct mass spectrometry data acquisition and analysis
| Tool | Type | Number of papers | Percentage |
|---|---|---|---|
| R | Programming language | 39 | 35.5 |
| Matlab | Programming language | 32 | 29.1 |
| SPSS | Statistical analysis software | 17 | 15.5 |
| ToF-DAQ | Data acquisition software | 9 | 8.2 |
| Excel | Spreadsheet software | 8 | 7.3 |
| MSConvert | File converting software | 7 | 6.4 |
| Xcalibur | Data acquisition software | 5 | 4.5 |
| Sigmaplot | Data visualisation software | 5 | 4.5 |
| PTR-MS Viewer | Data acquisition software | 5 | 4.5 |
| PeakView | Data acquisition software | 5 | 4.5 |
| SIMCA | Multivariate statistical analysis software | 4 | 3.6 |
| Metaboanalyst | Web server for metabolomic data analysis | 4 | 3.6 |
| Labsyft | Data acquisition software | 4 | 3.6 |
| gplots | Package written in R programming language | 4 | 3.6 |
| ggplot2 | Package written in R programming language | 4 | 3.6 |
| FactoMineR | Package written in R programming language | 4 | 3.6 |
| SAS | Programming language | 3 | 2.7 |
| PTR-TOF Data Analyzer | Statistical analysis software for PTR-TOF | 3 | 2.7 |
| Minitab | Statistical analysis software | 3 | 2.7 |
| ade4 | Package written in R programming language | 3 | 2.7 |