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SNPViz
Search by Gene IDs
Step 1: Choose Genome Version:
Choose genome version
v3_v1
Step 2: Choose Dataset
-- Please select dataset --
Step 3: Choose Samples
{{sample_name}}
Step 4: Enter Range of Positions
Chromosome:
Choose chromosome
Chr01
Chr02
Chr03
Chr04
Chr05
Chr06
Chr07
Chr08
Chr09
Chr10
super_101
super_1023
super_1058
super_1068
super_112
super_1165
super_120
super_1257
super_1265
super_1287
super_1334
super_139
super_1432
super_1445
super_154
super_16
super_164
super_1650
super_1713
super_1717
super_1741
super_176
super_1828
super_199
super_20
super_2002
super_2035
super_2071
super_2174
super_2229
super_2250
super_2273
super_2276
super_229
super_2410
super_2454
super_2540
super_2600
super_2635
super_267
super_2674
super_2779
super_2843
super_2853
super_2910
super_2942
super_2967
super_297
super_2983
super_3040
super_3056
super_31
super_3113
super_314
super_3219
super_3247
super_3268
super_3270
super_3299
super_368
super_400
super_41
super_414
super_444
super_466
super_477
super_49
super_506
super_525
super_527
super_541
super_640
super_73
super_814
super_826
super_836
super_862
super_88
super_896
super_99
Starting position:
Ending position:
Step 5: SNPs Options
Choose Type
Gene Only
Step 6: Clustering Method and Color Scheme
Clustering Method:
Choose Type
UPGMA
Neighbour Joining
Color Scheme:
Choose Type
Multi-Color Scale
Step 7: Coloring phenotype (optional)
No
Yes
Phenotype Color (
template
)
Only visualize the PIs with phenotypes
Accuracies Parameters:
Set Ref as MUT
Please assign WT phenotype
1
2
3
4
5
6
7
8
9
10
Please assign MUT phenotype
1
2
3
4
5
6
7
8
9
10
Filter Accuracy Realistic by Range - Start:
End:
Step 8: Filtering by p-value (optional)
Filter SNPs by p-value range (
example
)
No
Yes
Parameters:
P-value range - Lowest:
Highest:
Only visualize SNPs with p-value
SNPViz