Accelerating Synthetic Biology with Fully Unified Informatics
公司规模
200-1,000
地区
- America
国家
- United States
产品
- Benchling
技术栈
- Informatics
实施规模
- Enterprise-wide Deployment
影响指标
- Innovation Output
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
- 生命科学
适用功能
- 产品研发
用例
- 质量预测分析
- 监管合规监控
服务
- 数据科学服务
关于客户
Synlogic is a pioneering company in the field of synthetic biology, developing microbe-based therapeutics to treat a wide array of diseases. These diseases range from cancer to genetic inborn errors of metabolism. The company's innovative approach to therapeutics involves leveraging the natural capabilities of microbes to produce and deliver therapeutics in the body. However, the complexity of their work and the need for precise tracking and data management presented significant challenges.
挑战
Synlogic, a company developing microbe-based therapeutics, faced several challenges in their operations. Their complex workflows were being sketched out step-by-step on paper, which hindered collaboration and reproducibility. Without a workflow system linked to a registration system, it was difficult for Synlogic to trace the lineages of their candidates. Additionally, placing requests, uploading results from instruments, and collating data across experiments were cumbersome and unreliable without unified, intelligent systems.
解决方案
To address these challenges, Synlogic turned to Benchling, a unified informatics platform. Benchling developed a custom data model that maps to Synlogic’s unique workflows, enabling real-time experiment tracking and automating lineage tracking. This solution provided a much-needed structure to Synlogic's complex workflows and made it easier to trace the lineages of their candidates. Additionally, Benchling integrated Synlogic's instruments with the informatics requests system and bioreactors. This integration streamlined the process of placing requests and automatically associated results data with samples. As a result, Synlogic was able to streamline their IND filing process by using Benchling links in IND filings to provide full experimental history.
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