Table 1.
QGRS Mapper | G4Hunter | PQSfinder | G4RNA Screener | G4-iM Grinder | |
---|---|---|---|---|---|
Format | Web | R script/web | R package | Python script/web | R package |
Search engine | |||||
Model | F.R. | S.W. | F.F.R. | S.W. | F.F.R. |
Run composition | G | G, C | G | G | G, C, T, U, A |
Run imperfections | N | Y | Y | Y | Y |
Modulable variables | 5 | 2 | 10 | 3 | 13 |
Results analysis | |||||
Structure analysis | Y | Y | Y | Y | Y |
Structure frequency analysis | N | N | N | N | Y |
High-order search and analysis | N | N | N | N | Y |
Structure qualification | N | N | N | N | Y |
PQS score system | G-Score | G4Hunter | PQSfinder | G4NN (A. N. N.) | Total Score |
G4Hunter | Frequency | ||||
cGcC | PQSfinder | ||||
G4Hunter | |||||
cGcC |
Structure qualification includes composition analysis and identification of sequences that are already known to form G4 in vitrowithin the results.
Abbreviations: A.N.N.: artificial neural network; F.R.: folding rule; F.F.R.: flexible folding rule; N: no; S.W.: sliding window; Y: yes.