Bioinformatics

Dedicated Computing is a strategic supplier for several of the world’s leading life sciences original equipment manufacturers (OEMs). As technology advances and groundbreaking discoveries are being made, high performance and reliable computing solutions continue to be a priority for manufacturers.

Our technology addresses key industry challenges:

  • Avoid costly validation and verification. We work closely with our customers to reduce the complexity of product lifecycle management – component changes are planned to synchronize with your system updates, not with the IT market.
  • Better utilization of resources. Dedicated Computing provides engineering expertise to help with image configuration, design services, validation and optimization of your application for hardware. Focus your valuable resources on strategic initiatives and let Dedicated Computing help with the software stack.
  • Improve system uptime. Proactive monitoring and management improves reliability and corrects potential failures before they become a reality, avoiding downtime and reducing security threats associated with software stack vulnerabilities.

Powering the World’s Most Important Devices:

The commercial market for bioinformatics is increasing as the demand for genomics, proteomics, cheminformatics, transcriptomics, metabolomics, and molecular phylogenetic research grows. Increased investment in R&D and technological advancements in bioinformatics further its use in drug discovery for personalized medicine and clinical diagnostics. Original equipment manufacturers continue to improve and provide benefits in the convenient and accurate verification of biological data and storage and access to large amounts of data.

 

 

Tapping Into Big Data in a Single Day

Faster Data Analysis Creates Meaningful Results in Precision Medicine

Data drives healthcare – and care improves when accurate, timely information is shared effectively. That is essentially the guiding principle of genomics, which creates highly personalized treatment plans based on an individual’s genetic makeup. Fast data analysis is making a difference here, with technology at the heart of ambitious goals like improving outcomes and reducing the long-term cost of care for a worldwide population.

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