We recently introduced massively parallel methods for designing, expressing, and experimentally testing tens of thousands of entirely new proteins, leading to an avalanche of new protein structures.
Despite their considerable merit, predictive bioinformatics tools or massively parallel methods such as microarrays remain limited by the need for knowledge of consensus or sequence which may not yet exist, and are sometime affected by false-positive [63] [65].
Application of massively parallel methods identified one third of the complete proteome, a majority of which was only predicted based on genome sequencing, but never identified to date.
In recent years, RNA-seq is quickly developed as a massively parallel sequencing method to generate transcriptome profiles at large scale and relatively low cost[ 20, 21].
The 75% cutoff for SNP selection was set by considering potential sequencing errors that can be generated by the massively parallel sequencing method.
An equally promising and novel approach was reported by Kinde et al. who developed a sensitive massively parallel sequencing method to test for mutations in a panel of 12 genes.
The recent advent of RNA-Seq, a massively parallel sequencing method for transcriptome analysis, provides an opportunity to expand the identification of alfalfa genes and polymorphisms, and conduct in-depth transcript profiling.
NSCLC FFPET-derived DNA blends and specimens that gave discordant cobas EGFR test and Sanger test results as well as a randomly selected subset of concordant specimens were tested using a quantitative massively parallel pyrosequencing method ("MPP", 454 GS Titanium, 454 Life Sciences, Branford, CT, USA) [ 14].
However, the major advances in sequencing technology in recent years have not been related to the mature Sanger sequencing method, but to the rapidly evolving massively parallel sequencing methods.
