ISMB Competitors

At Illumina, our goal is to apply innovative technologies and revolutionary assays to the analysis of genetic variation and function, making studies possible that were not even imaginable just a few years ago. These studies will help make the realization of personalized medicine possible. With such rapid advances in technology taking place, it is mission critical to have solutions that are not only innovative, but flexible, scalable, and complete with industry-leading support and service. As a global company that places high value on collaborative interactions, rapid delivery of solutions, and prioritizing the needs of its customers, we strive to meet this challenge. Illumina’s innovative, array-based solutions for DNA, RNA, and protein analysis serve as tools for disease research, drug development, and the development of molecular tests in the clinic.

QIAGEN is the leading global provider of Sample to Insight solutions that enable customers to gain valuable molecular insights from samples containing the building blocks of life. Our sample technologies isolate and process DNA, RNA and proteins from blood, tissue and other materials. Assay technologies make these biomolecules visible and ready for analysis. Bioinformatics software and knowledge bases interpret data to report relevant, actionable insights. Automation solutions tie these together in seamless and cost-effective workflows. QIAGEN provides solutions to more than 500,000 customers around the world in Molecular Diagnostics (human healthcare) and Life Sciences (academia, pharma R&D and industrial applications, primarily forensics). As of December 31 2021 QIAGEN employed more than 6,000 people in over 35 locations worldwide. Further information can be found at www.qiagen.com.

EMBL-EBI is a world-leading provider of biological data resources and tools. Working at EMBL-EBI gives you the opportunity to contribute to something that really matters: using technology to advance discoveries that benefit humankind. We empower scientists everywhere to realise the potential of big data and AI in biology, and build sophisticated tools for exploring life at the molecular level.