
Signals BioDesign
Cloning and plasmid design for scalable molecular biology workflows with real-time team collaboration.
Overview
Signals BioDesign is an enterprise-ready SaaS platform from Revvity Signals Software designed to streamline molecular biology workflows, with a focus on core cloning and high-throughput plasmid modeling. Built through direct customer collaboration, it transforms disconnected molecular biology tasks into integrated, scalable workflows that reduce errors, eliminate tool-switching, and accelerate research velocity. The platform integrates directly within the broader Revvity Signals ecosystem to enhance collaboration for large-molecule design.
Signals BioDesign is tailored for organizations of all sizes — from small and medium biotechs seeking simple, friction-free cloning tools, to global pharma enterprises that need to centralize data, standardize protocols, and scale construct libraries, cloning strategies, and optimized sequences across the organization.
Core Molecular Biology Capabilities
- Supports essential cloning methodologies including Golden Gate, Gibson Assembly, and restriction/ligation approaches through interfaces optimized for speed and accuracy.
- Enables easy primer design, sequence validation, and cloning strategy optimization, eliminating time-consuming manual calculations while preserving flexibility for custom approaches.
- Recommends optimal cloning strategies based on target sequences and predicts potential issues before experimentation begins.
- Suggests improvements derived from previously successful projects to continuously refine workflows.
- High-throughput capabilities support bulk cloning operations of up to 1,000 constructs with the same simplicity as single-construct designs, including automated quality controls and progress tracking.
Connected Workflow Ecosystem
- Construct design integrates directly with experimental planning, materials registration, and results analysis to create a seamless end-to-end workflow.
- Centralized sequence libraries provide intelligent duplicate detection and similarity searching to reduce redundancy and simplify data sharing.
- Real-time collaboration enables distributed teams to iterate on designs without complicated file management.
- Direct ELN connection with Signals Notebook and Signals One maintains experimental context without manual data transfer.
- API connectivity integrates Signals BioDesign with existing laboratory systems, ensuring continuity from initial design through characterization and publication.
Enterprise Scalability and Standardization
- Standardized cloning protocols can be shared across teams while maintaining individual flexibility, allowing successful approaches to scale across projects and the entire organization.
- Streamlined processes reduce errors and accelerate adoption by focusing on the core workflows that drive the majority of productivity.
- Simple, scalable license management supports deployments ranging from individual users to full organizational rollouts without added administrative overhead.
- Cloud-native architecture delivers enterprise-grade performance through the same intuitive interfaces used across all Signals applications.
Security and Compliance
- Built on secure cloud infrastructure hosted on AWS, following independently verified best practices for storing and securing data.
- SOC 2 certified, confirming compliance with industry-leading security and privacy standards.
- Permissions-based access controls ensure team members only see the data and features relevant to their role.
- Full audit trails are maintained through the cloud-native architecture, supporting regulatory and organizational compliance requirements.
Signals BioDesign is available as a cloud-native SaaS solution and integrates natively with Revvity Signals products including Signals Notebook and Signals One, making it a natural fit for life sciences organizations already operating within the Revvity Signals ecosystem or looking to consolidate their molecular biology and informatics tooling into a unified, secure platform.
