From: Structural diversity of biologically interesting datasets: a scaffold analysis approach
Datasets | D | M | T | P | L | N | C |
---|---|---|---|---|---|---|---|
D | 100% |
123 (6%; D: 7%, M: 42%) |
192 (7.5%; D: 10%, T: 21%) |
347 (2.4%; D: 19%, P: 3%) |
310 (1.4%; D: 17%, L: 1%) |
840 (2%; D: 45%, N: 2%) |
1347 (1.0%; D: 72%, C: 1%) |
M | 100% |
71 (6.3%; M: 24%, T: 8%) |
140 (1.1%; M: 47%, P: 1%) |
68 (0.3%; M: 23%, L: 0.3%) |
230 (0.5%; M: 78%, N: 0.5%) |
215 (0.2%, M: 73%, C: 0.2%) | |
T | 100% |
174 (1.3%; T: 19%, P: 1%) |
144 (0.7%; T: 16%, L: 1%) |
534 (1.2%, T: 59%, N: 1%) |
532 (0.4%, T: 59%, C: 0.4%) | ||
P | 100% |
706 (2.1%; P: 5%, L: 3%) |
1734 (3.1%; P: 13%, L: 8%) |
1947 (1.4%, P: 15%, C: 1.5%) | |||
L | 100% |
2753 (4.4%; L: 13%, N: 6%) |
3470 (2.4%; L: 16%, C: 3%) | ||||
N | 100% |
7600 (5.0%; N: 17%, C: 6%) | |||||
C | 100% |