Sequencing of the human genome was thought to have revolutionized the application of not only genomics but also proteomics. Formerly, proteomics struggled to achieve expectations, for an array of reasons including lack of quantitative capabilities and throughput. Modern researchers are tasked with processing hundreds of samples of information dense content, which often creates a bottleneck at the data analysis step for many labs. A real-time database search solution called PaSER (Parallel database Search Engine in Real-time) aims to address this challenge.
Download this whitepaper to discover how PaSER can remove the data analysis hurdle by: