| AlphaMissense |
Provides pathogenicity scores (0 to 1) and rankscores for missense variants, with higher values indicating greater likelihood of pathogenicity. |
| DEOGEN2 |
Predicts variant deleteriousness with scores (0 to 1) and rankscores, where higher values suggest increased pathogenicity. |
| Eigen |
Offers raw and Phred-scaled scores for variant deleteriousness in coding regions, based on conservation and other genomic features. |
| MPC |
Provides scores (0 to 5) and rankscores for missense variants, with higher scores indicating greater pathogenicity. |
| DANN |
Uses deep neural networks to generate scores (0 to 1) and rankscores, where higher values denote higher pathogenicity likelihood. |
| M-CAP |
Predicts pathogenicity of rare missense variants with scores (0 to 1) and rankscores, higher values indicating greater deleteriousness. |
| MetaLR |
A meta-predictor providing scores (0 to 1) and rankscores by integrating multiple tools, with higher values suggesting pathogenicity. |
| MetaRNN |
A meta-predictor using recurrent neural networks for scores (0 to 1) and rankscores, indicating pathogenicity likelihood. |
| MetaSVM |
A meta-predictor using support vector machines for scores (0 to 1) and rankscores, with higher values denoting pathogenicity. |
| GenoCanyon |
Provides scores (0 to 1) for variant functionality prediction, where higher scores suggest greater impact. |
| CADD |
Offers raw and PHRED-scaled scores (1 to 99) for variant deleteriousness, with higher scores indicating pathogenicity. |
| LIST-S2 |
Predicts pathogenicity with scores (0 to 1) and rankscores, where higher values indicate greater deleteriousness. |
| REVEL |
An ensemble method providing scores (0 to 1) and rankscores for rare missense variants, with higher scores suggesting pathogenicity. |
| PrimateAI |
Uses deep learning on primate genomes for scores (0 to 1) and rankscores, indicating pathogenicity likelihood. |
| BayesDel |
Provides scores with and without allele frequency for deleteriousness prediction, higher scores indicating pathogenicity. |
| EVE |
Uses an evolutionary model for scores (0 to 1) and rankscores, with higher values suggesting pathogenicity. |
| MVP |
Predicts pathogenicity with scores (0 to 1) and rankscores, where higher scores indicate greater deleteriousness. |
| FINSURF |
Provides scores (0 to 1) for variant functionality, with higher values suggesting greater impact. |
| MutationTaster |
Predicts disease-causing probability (0-100%), with higher percentages indicating stronger pathogenic predictions. |
| CanDrA |
Combines prediction scores and categories (Passenger/Driver) for cancer-related variants, higher scores suggesting pathogenicity. |
| FATHMM |
Provides coding and non-coding scores (0 to 1) using multiple feature groups, with higher scores indicating pathogenicity. |