vvv2_align_SE, vvv2_align_PE/vvv2_display:基于银河系的工作流程和工具,旨在执行,总结和可视化病毒基因组组合中的变异调用和注释
Alexandre Flageul1,2, Edouard Hirchaud3, Céline Courtillon2
1Bio Chene Vert, ZI de Bellevue, rue Blaise Pascal, 35220 Châteaubourg, France.
Viruses
|October 29, 2025
概括
vvv2_display通过将下一代测序数据总结成视觉地图和变异列表来简化病毒基因组分析. 该工具帮助病毒学家从复杂的数据集中快速识别显著的病毒突变.
科学领域:
- 病毒学 病毒学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 下一代测序 (NGS) 在多个文件中生成复杂的病毒数据,阻碍了解释.
- 从众多低频或无意义的病毒变体中识别生物学上相关的病毒变体对病毒学家来说是具有挑战性和劳动密集的.
- 对病毒突变的手动数据分析耗时且容易出现错误.
研究的目的:
- 开发一个专门的工具,vvv2_display,用于总结和可视化病毒测序结果.
- 将vvv2_display集成到全面的Galaxy工作流中,以进行简化分析.
- 促进病毒基因组数据的快速和准确的解释.
主要方法:
- 开发了vvv2_display,这是一个用于病毒变体总结和可视化的软件工具.
- 集成的vvv2_display 在Galaxy工作流中.
- 生成两个可互操作的输出:一个PNG图像和一个tab分隔的TSV文件.
主要成果:
- vvv2_display将NGS结果整合到一个PNG图像中,显示基因组覆盖范围,注释和显著变异 (符号高度表示频率,形状表示蛋白质影响).
- 一个链接的TSV文件列出了高可信度变体的频率,侧边核酸和受影响的基因/蛋白质.
- 该工具可以快速识别与参考病毒基因组的偏差,并进行详细的变异探索.
结论:
- vvv2_display通过提供简洁,可视化和链接的数据输出,显著简化了病毒变体的解释.
- 该工具提高了探索病毒基因组变异的速度,准确性和直观性.
- vvv2_display是NGS数据分析的病毒学家的一个开源,可访问的解决方案.
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