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Data version: |
Chromosome: |
Range Type: |
SNP Option: |
Show indel |
| Clustering Method: | UPGMA | Neighbour Joining |
| Color Scheme: | Gray Scale | MultiColor Scale |
| Phenotype Color (template): |
Visualize just the PIs with phenotypes
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| Accuracies Parameters: |
| Filter SNPs by p-value range (example): |
P-value Range
Highest: Lowest: Visualize SNPs with p-value only |
You can only view this data in Wm82.a2.v1 version
You can only view this data in Wm82.a2.v1 version
You can only view this data in Wm82.a2.v1 version
You can only view this data in Wm82.a2.v1 version
You can only view this data in Wm82.a2.v1 version
If you use SNPViz in published work, please cite:
[1] Zeng S, Škrabišová M, Lyu Z, Chan YO, Dietz N, Bilyeu K, Joshi T: Application of SNPViz v2.0 using next-generation sequencing data sets in the discovery of potential causative mutations in candidate genes associated with phenotypes. International Journal of Data Mining and Bioinformatics 2021, 25(1-2):65-85.
[2] Zeng S, Škrabišová M, Lyu Z, Chan YO, Bilyeu K, Joshi T: SNPViz v2.0: A web-based tool for enhanced haplotype analysis using large scale resequencing datasets and discovery of phenotypes causative gene using allelic variations. In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM): 16-19 Dec. 2020; 2020: 1408-1415.
[3] Langewisch T, Zhang H, Vincent R, Joshi T, Xu D, Bilyeu K: Major soybean maturity gene haplotypes revealed by SNPViz analysis of 72 sequenced soybean genomes. PLoS One 2014, 9(4):e94150.