GenoSee: a novel visualization tool for graphical genotypes.
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| Název: | GenoSee: a novel visualization tool for graphical genotypes. |
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| Autoři: | Shumpei Hashimoto1 hashimotoshumpeiq@g.eec.u-tokyo.ac.jp |
| Zdroj: | Breeding Science. 2024, Vol. 74 Issue 5, p454-461. 8p. |
| Druh dokumentu: | Article |
| Témata: | Nucleotide sequencing, Data visualization, Genotypes, Customization |
| Author-Supplied Keywords: | data visualization graphical genotype. genotype data visualization tools |
| Abstrakt: | Visualizing genotypic data is essential in genetic research and breeding programs as it offers clear representations of genomic information, enhancing understanding of genetic architecture. This becomes especially critical with the emergence of next-generation sequencing (NGS) technologies, which generate 1 ast datasets necessitating effective visualization tools. While traditional tools for graphical genotypes have been groundbreaking, they often lack flexibility and universal applicability. These tools encounter limitations such as user-customized visualization and compatibility issues across different operating systems. Iii this study, I introduce GenoSee, a novel visualization tool designed to address these shortcomings. GenoSee can handle phased and non-phased variant calling data, offering extensive customization to suit diverse research requirements. It operates seamlessly across multiple platforms. ensuring compatibility, and provides high-quality graphical genotypes. GenoSee facilitates deeper insights into genomic structures, thereby advancing genetic and genomic research, and breeding programs by enhancing accessibility to genetic data visualization. [ABSTRACT FROM AUTHOR] |
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| Author Affiliations: | 1Laboratory of Plant Breeding and Genetic·s. Graduate School 01 Agricultural and Litd Sciences. The University of Tokyo, 1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan |
| ISSN: | 1344-7610 |
| DOI: | 10.1270/jsbbs.24041 |
| Přístupové číslo: | 184549846 |
| Databáze: | Veterinary Source |
| Abstrakt: | Visualizing genotypic data is essential in genetic research and breeding programs as it offers clear representations of genomic information, enhancing understanding of genetic architecture. This becomes especially critical with the emergence of next-generation sequencing (NGS) technologies, which generate 1 ast datasets necessitating effective visualization tools. While traditional tools for graphical genotypes have been groundbreaking, they often lack flexibility and universal applicability. These tools encounter limitations such as user-customized visualization and compatibility issues across different operating systems. Iii this study, I introduce GenoSee, a novel visualization tool designed to address these shortcomings. GenoSee can handle phased and non-phased variant calling data, offering extensive customization to suit diverse research requirements. It operates seamlessly across multiple platforms. ensuring compatibility, and provides high-quality graphical genotypes. GenoSee facilitates deeper insights into genomic structures, thereby advancing genetic and genomic research, and breeding programs by enhancing accessibility to genetic data visualization. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 13447610 |
| DOI: | 10.1270/jsbbs.24041 |