Genome-wide Compilation of mRNA Polyadenylation Signals in Arabidopsis Using Advance Searching Technologies

New computing technologies have recently become available to search and rapidly analyse large numbers of DNA sequences for critical information. Two technologies are of particular interest, general high-throughput sequencing libraries available on Cray systems such as the Cray SV1 and field-programmable gate arrays (FPGA) available as addons to such systems as the Sun Fire 6800. We have applied these technologies for the study of mRNA polyadenylation signals in the model plant Arabidopsis. In doing so, we have not only revealed many highly consensus signals in a predicted location, but also found an additional polyadenylation signal that were not previously identified by experimental approaches. Our results show the power of the technologies in bioinformatic studies.