Survey for SoyHub

We would love to hear from you about your experience with SoyHub and our genomic analysis tools. Your opinion is valuable to us as it will help us improve our existing tools and develop new features. The survey should only take you a few minutes.

Your responses will be completely anonymous unless you leave your email address to get in touch with us. We appreciate your input!

References:

Allele Catalog

[1] Chan YO, Dietz N, Zeng S, Wang J, Flint-Garcia S, Salazar-Vidal MN, Škrabišová M, Bilyeu K, Joshi T: The Allele Catalog Tool: a web-based interactive tool for allele discovery and analysis. BMC Genomics 2023, 24(1):107.

GenVarX

[1] Chan YO, Biova J, Mahmood A, Dietz N, Bilyeu K, Škrabišová M, Joshi T: Genomic Variations Explorer (GenVarX): A Toolset for Annotating Promoter and CNV Regions Using Genotypic and Phenotypic Differences. Frontiers in Genetics 2023, In Press.

AccuTool

[1] Biová J, Dietz N, Chan YO, Joshi T, Bilyeu K, Škrabišová M: AccuCalc: A Python Package for Accuracy Calculation in GWAS. Genes 2023, 14(1):123.

[2] Škrabišová M, Dietz N, Zeng S, Chan YO, Wang J, Liu Y, Biová J, Joshi T, Bilyeu KD: A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes. Journal of Advanced Research 2022, 42:117-133.

MADis

[1] Biová J, Kaňovská I, Chan YO, Immadi MS, Joshi T, Bilyeu K, Škrabišová M. Natural and artificial selection of multiple alleles revealed through genomic analyses. Front Genet. 2024 Jan 8;14:1320652. doi: 10.3389/fgene.2023.1320652. PMID: 38259621; PMCID: PMC10801239.

SNPViz

[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.