Cloud-based parallelization leads to a drastically faster library-free analysis in Spectronaut

Recently, the library-free approach has become one of the methods of choice for the proteomic analysis of DIA data. It simplifies the workflow allowing users to skip a DDA acquisition for the generation of a library. However, the various library-free workflows available in the field are significantly more computationally expensive. In many cases, the data analysis can exceed acquisition time without using a powerful computer system. To mitigate this, one possible strategy is to parallelize the data analysis using multiple computers. A cloud environment is perfectly suited to this task. Here, we did a Spectronaut^® library-free directDIA^® analysis on Amazon Web Services cloud architecture to demonstrate that the parallelization of the library-free analysis drastically decreases the overall analysis time.