Many of our projects start with an Assessment phase. These provide all parties with a solid understanding of the Scientific and IT needs, the current situation and the desired end goals. This allows us to identify gaps to be addressed and define a solid strategic plan to achieve the stated goals. Your final report is a data-driven, integrated view of the situation that represents input from all stakeholders and provides a solid foundation for subsequent strategic planning.
Clients turn to BioTeam to tap into our experience creating software and tools for Scientists. We can build a secure, cloud-based, web portal to your clinical genomics data; we can integrate a genome browser into your existing pipeline; we understand data standards and ontologies; we can tune your algorithms and effectively deploy them across your compute infrastructure. As scientists, we understand your science and why it matters; as software developers and computer scientists we can bring your ideas to life.
BioTeam’s core expertise is infrastructure for scientific computing. Our projects have run the gamut from small clusters to multi-thousand core HPC environments. We’ve built ScienceDMZ’s and designed national, coast-to-coast, scientific infrastructures. We have extensive experience with the Cloud and architecting hybrid-cloud solutions to support modern science workflows. We’ve built solutions for clients in Academia, Government, Pharma, Biotech, Military, Non-profits and more – You can be confident that our team has the experience for your project.
BioTeam training can help your team quickly get up to speed with new technologies like Amazon Web Services or DevOps tools like Chef and Anisble. The syllabus is based on the best practices we’ve developed using these tools in demanding production environments, tailored to the specific needs of your team and your projects. Your team is your most precious resource – let us help you expand their skills so they can keep learning and your organization can keep improving.
a sampling of recent work
BioTeam designed, built, and supports a Web application that runs on the Google Compute Cloud. This application allows scientists and doctors to upload, analyze, query and visualize the clinical and variation data in more than 10,000 human genomes.
BioTeam worked with this company to develop scheduler configuration, system optimization, as well as the designing a functional prototype Cloud HPC solution.
BioTeam has migrated established bioinformatics pipelines to the AWS for this company. This work involved the review of pipeline code and identification of existing bottlenecks, recommendations on managing HPC clusters on AWS, recommendations on techniques for results visualization, writing example code to automate data transfer from Basespace to AWS, and writing and testing production code based on CfnCluster and Cloud templates.
BioTeam worked with this company to create a cost-effective reproducible HPC infrastructure running directly on AWS infrastructure services. Their clusters boot using Starcluster and a custom base image (AMI), and are optimally configured for specific job types.
BioTeam has created a reference architecture for Cloud services, inclusive of technology and partner options at each level of the architecture stack. BioTeam helped define processes for clearing and building data pipelines, including contact points from internal and external parties, from sample to analysis ready data to downstream processes (data meeting in the Cloud for systems biology, Big Data queries).
BioTeam has consulted with this company in order that they have a better understanding of the strengths and weaknesses of Cloud computing. As a result of a pilot built with BioTeam, their IT staff and scientists are able to support long-term research computing efforts with cloud computing providers such as AWS.