Seqera provides a unified bioinformatics platform that integrates data, pipelines, and compute infrastructure for scientific teams. It enables the building and scaling of reproducible workflows across on-premises systems and major cloud providers like AWS, GCP, and Azure. The platform facilitates high-throughput computation and secure collaboration, accelerating research from discovery to development.
Funding
$27.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Bioinformatics pipelines often involve complex data analysis and require scalable, reproducible workflows, posing significant management challenges for genomic data. Scientists face difficulties in integrating diverse data types, computing environments, and security protocols, which can hinder research productivity and collaboration.
Solution
Seqera provides a comprehensive platform designed to streamline the building, running, and analysis of bioinformatics pipelines using open-source tools like Nextflow. The platform integrates data, compute resources, code repositories, containerization, and security measures to facilitate scalable and reproducible workflows across various computing environments, including cloud and high-performance computing (HPC) infrastructures. By offering a unified environment, Seqera addresses the complexities of managing genomic data analysis, enabling scientists to focus on research and accelerate discoveries. The platform supports command-line interface (CLI), application programming interface (API), software development kit (SDK), and user interface (UI) interactions.
Target Audience
The primary target audience includes scientists, bioinformaticians, and research organizations involved in genomic sequencing and data analysis.
Features
- Supports Nextflow, Wave, and MultiQC open-source tools
- Integrates with cloud, HPC, and container environments
- Manages data, code, and identity access
- Provides tools for data exploration, pipeline execution, and data analysis
- Enables scalable and reproducible scientific workflows using containers
- Facilitates collaboration and sharing of pipelines