|
Nucleotide
|
Exon
|
Intron
|
Gene
|
---|
|
Sn
|
Sp
|
Sn
|
Sp
|
Sn
|
Sp
|
Sn
|
Sp
|
---|
Sc. pombe (1898/5124 genes in high-confidence set)
|
CodingQuarry |
99.3
|
99.7
|
93.4
|
93.6
| 94.5 | 96.7 |
91.3
|
89.0
|
AUGUSTUS | 99.2 | 99.1 | 92.0 | 91.4 |
95.7
| 92.6 | 86.9 | 88.9 |
TransDecoder | 95.4 | 99.3 | 84.5 | 86.3 | 88.5 |
97.0
| 80.2 | 73.5 |
S. cerevisiae (5206/6575 genes in high-confidence set)
|
CodingQuarry |
99.2
|
99.8
|
90.0
| 90.0 |
79.0
| 67.6 |
90.4
| 91.1 |
AUGUSTUS | 97.5 | 99.7 | 84.7 |
90.9
| 74.4 |
77.0
| 85.0 |
91.5
|
TransDecoder | 92.2 | 99.5 | 79.9 | 74.8 | 73.9 | 67.4 | 80.1 | 68.0 |
- Sensitivity (Sn) is the proportion of a given feature (nucleotides/exons/introns/genes) in the high-confidence set that are correctly predicted. Specificity (Sp) is the proportion of features in the predicted set that are correct. Sensitivity and specificity calculations for nucleotides are made on nucleotides within coding regions. Further descriptions of these measures are given in the Implementation subsection titled “Quantifying prediction results”. The highest scores in each column for Sc. pombe and S. cerevisiae are shown in boldface.