UniGene Analysis
UniGene is a system for automatically partitioning transcriptome sequences into a non-redundant set of clusters. Each UniGene cluster contains sequences that represent a unique gene.
The goal of this technique is the same as UniGene of NCBI.
Polypterus senegalus UniGene Build #2 |
|
8,458 |
|
|
Contigs |
|
10,968 |
|
|
Singletons |
|
Total 19,426 |
|
|
Unique sequences |
|
Histogram of cluster contig sizes for UniGene |
|
Cluster Contig Size |
|
Number of Cluster Contigs |
|
174 - 441 |
|
2 |
(0.01%) |
|
|
39 - 173 |
|
46 |
(0.34%) |
|
|
21 - 38 |
|
68 |
(0.50%) |
|
|
13 - 20 |
|
86 |
(0.64%) |
|
|
9 - 12 |
|
109 |
(0.81%) |
|
|
6 - 8 |
|
253 |
(1.88%) |
|
|
4 - 5 |
|
368 |
(2.73%) |
|
|
3 |
|
456 |
(3.39%) |
|
|
2 |
|
1,112 |
(8.26%) |
|
|
1 |
|
10,968 |
(81.44%) |
|
|
|
|
|
|
|
|
|
|
|
Eptatretus burgeri UniGene Build #2 |
|
|
19,171 |
|
Contigs |
|
|
42,710 |
|
Singletons |
|
|
Total 61,881 |
|
Unique sequences |
|
Histogram of cluster contig sizes for UniGene |
|
Cluster Contig Size |
|
Number of Cluster Contigs |
|
7,786 - 11,120 |
|
2 |
(0.01%) |
|
|
243 - 7,785 |
|
18 |
(0.03%) |
|
|
105 - 242 |
|
35 |
(0.06%) |
|
|
33 - 104 |
|
226 |
(0.37%) |
|
|
15 - 32 |
|
714 |
(1.15%) |
|
|
8 - 14 |
|
1,820 |
(2.94%) |
|
|
5 - 7 |
|
2,872 |
(4.64%) |
|
|
3 - 4 |
|
5,461 |
(8.83%) |
|
|
2 |
|
8,023 |
(12.97%) |
|
|
1 |
|
42,710 |
(69.02%) |
|
|
|
|
|
|
|
|
|
|
|
Scyliorhinus torazame UniGene Build #2 |
|
|
13,727 |
|
Contigs |
|
|
28,524 |
|
Singletons |
|
|
Total 42,251 |
|
Unique sequences |
|
Histogram of cluster contig sizes for UniGene |
|
Cluster Contig Size |
|
Number of Cluster Contigs |
|
2,041 - 24,055 |
|
3 |
(0.01%) |
|
|
376 - 2,040 |
|
12 |
(0.03%) |
|
|
101 - 375 |
|
38 |
(0.09%) |
|
|
56 - 100 |
|
67 |
(0.16%) |
|
|
33 - 55 |
|
118 |
(0.28%) |
|
|
21 - 32 |
|
218 |
(0.52%) |
|
|
10 - 20 |
|
980 |
(2.32%) |
|
|
4 - 9 |
|
4018 |
(9.51%) |
|
|
2 - 3 |
|
8,273 |
(19.58%) |
|
|
1 |
|
28,524 |
(67.51%) |
|
|
|
|
|
|
|
|
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