Distributed computing played a significant role in accelerating the sequencing and assembly of the human genome - ahead of the original schedule. The completion of human genome sequencing, as well as that of other organisms has brought bioinformatics into a new dimension. Homologies between sequences, as well as matches to Markov models and results of several applications are all computed, world wide, by automatic workflow systems. Gene expression, proteomics and large-scale genotyping are deployed, and their results deposited in standardized repositories.
In spite of the fact that these important steps toward the mechanistic understanding of life are done, and that all information sources are available in digital format, many more steps are still needed before mankind is able to answer the simple question “What’s Life”. As activity in the post-genomic era escalates, distributed computing is emerging as a strategic and integral component that impacts directly on the time to discovery. With system and life-science software vendors, Platform Computing has acknowledged this requirement, and is addressing the identified challenges through key integrations that incorporate distributed-computing technologies seamlessly and deeply into the discovery process.
Using technology from Platform Computing, scientists can easily exploit diverse data sources and multiple analysis tools, without worrying about such details as program or data location, data interoperability, and communication. Through illustrative examples based on real-world experiences involving Platform’s LSF, the demand for distributed computing can be effectively addressed. The enablement of the discovery suite, with Platform’s LSF for distributed resource management, provides a comprehensive solution for current and future challenges in the life sciences.