AnnoMate:通过定制交互式可视化来探索和注释集成的分子数据
Claudia Chu1, Conor Messer1, Samantha Van Seters1
1Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Patterns (New York, N.Y.)
|November 21, 2024
概括
手动审查大型数据集是繁的. AnnoMate是一个新的Python包,可以创建可定制的仪表板,以简化数据注释和复查,用于多组和癌症基因组研究.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 在大规模的生物研究中,手动数据审查是必不可少的,但耗时.
- 增加多组和癌症基因组学的数据生成需要有效的审查过程.
研究的目的:
- 开发一个灵活的模块化框架,用于自动化手动数据审查.
- 为数据注释任务创建交互式和可定制的仪表板.
主要方法:
- 开发了AnnoMate,这是一个使用Plotly Dash进行交互式仪表板的Python包.
- 实现了面向对象的框架,以便轻松定制审查仪表板.
- 应用了框架来创建癌症基因组测序数据审查的特定仪表板.
主要成果:
- 安诺Mate为手动数据审查提供了一个模块化和灵活的解决方案.
- 该软件包有助于创建交互式可定制仪表板.
- 成功实施了常见癌症基因组测序任务的审查员仪表板.
结论:
- AnnoMate提供了一种强大的工具,可以提高效率并减少手动数据审查中的错误.
- 该框架支持为各种生物信息学挑战开发定制解决方案.
- 促进大规模多原子和癌症基因组学数据的可扩展分析.
相关概念视频
Genome Annotation and Assembly
18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
DNA Microarrays
17.2K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.2K


