Recent technological advances in Next Generation Sequencing (NGS) have reduced both the cost and time required to produce Large Data Sets (LDS) of nucleotide sequences. These advances have led to an exponential proliferation of nucleotide sequence data coupled with an exacerbation of a persistent conundrum: the level of difficulty in generating LDS is rapidly decreasing, but the exposure, development and training of students and investigators in the bioinformatic approaches requisite to the proper and correct analysis of such data sets is experiencing a parallel increase in difficulty.
Farman, Mark; Calie, Pat; Jaromczyk, Jerzy W.; Jaromczyk, Jolanta; Moore, Neil; lHarris, Daniel; and Schardl, Chris, "An Adaptive Landscape for Training in the Essentials of Next Gen Sequencing Data Acquisition and Bioinformatic Analysis" (2014). Biological Sciences Faculty and Staff Research. Paper 28.