In addition to the search space, the proteomics field is so vast and diverse it is difficult to create a concise, yet comprehensive list of the common tools and terms, so we've listed them at the bottom of the page. But DeepSci's ability to keep work flowing to tens of thousands of machines is certainly applicable to much of the field of proteomics. And our ability to provision, monitor and manage cloud resources can be used to protect intellectual property while still using a pay-as-you-go pricing model. Using DeepSci can save months of setup and debugging of web servers, databases, and networks and provide computing resources when required. No more waiting in line to get supercomputer processing power! Volunteer, private and semi-private computing resources are at-the-ready with none of the costs of owning a cluster of machines. For more information, contact DeepSci.com to get started with a free consultation. Some proteomics research areas include structural proteomics and secondary structure prediction, protein kinases, biomarker detection, splice isoforms, X-ray and NMR crystallography, cytometry data analysis, fourier transform mass spectroscopy (FTMS), in silico simulation, peroxidase isozymes, peroxidase inhibitors, de novo synthesis, and de novo mutation. |
