In silico-based computer algorithms combined with high-throughput post hoc analyses of data originally generated by Sjoblom et al. [ 43] revealed that a significant number of candidate tumour neo-antigens arise as a consequence of the multiple gene mutations occurring in breast and colorectal cancers [ 44].
In order to overcome this challenge, here we suggest high-throughput post-processing GO characterization techniques to rapidly and thoroughly define GO chemo-morphological properties.
These constraint-based modelling approaches allow integration of high-throughput post-genomic data but describe steady states and generally offer no information about metabolite concentrations or the temporal dynamics of the system [18, 19, 20].
High-throughput post-genomic studies are now routinely and promisingly investigated in biological and biomedical research.
Indeed, while aid organizations increasingly use the distributed, real-time communication tools of the 21st century, much disaster research continues to rely on low-throughput, post-event data, such as questionnaires, eyewitness reports [28], [29], and communication records between first responders or relief organizations [30].
The proposed metrics could also be applicable in many other high-throughput post-genomic areas.
This irreproducibility problem also exists in other high-throughput post-genomic areas such as proteomics and metabolism.
Pre-cooperating protocol yields 50% gains in users' throughput than post-cooperating protocol if both users have high user-destination average received signal-to-noise ratio (SNR) at the destination.
In general, the choice of sequencer for clinical use will depend on the best combination of cost, flexibility, error rates, throughput and post-sequencing analysis programs for a given application.
In the paper "Optimal Pilot Symbol Power Allocation under Time-variant Channels" (Michal Simko, et al)., the issue of how to distribute available power between data symbols and pilot symbols over time-varying channels is considered in order to maximize the overall throughput by choosing the post-equalization signal-to-interference-plus-noise ratio (SINR) as the cost function.
The high throughput, low cost, low post-PCR processing, and automation potential that characterize real-time PCR present clear advantages over other widely used techniques, such as conventional PCR-SSP or PCR-SSOP.
