  DNA sequence analysis is fundamental to life science research. The rapid
development of next generation sequencing (NGS) technologies, and the richness
and diversity of applications it makes feasible, have created an enormous gulf
between the potential of this technology and the development of computational
methods to realize this potential. Bridging this gap holds possibilities for
broad impacts toward multiple grand challenges and offers unprecedented
opportunities for software innovation and research. We argue that NGS-enabled
applications need a critical mass of sustainable software to benefit from
emerging computing platforms' transformative potential. Accumulating the
necessary critical mass will require leaders in computational biology,
bioinformatics, computer science, and computer engineering work together to
identify core opportunity areas, critical software infrastructure, and software
sustainability challenges. Furthermore, due to the quickly changing nature of
both bioinformatics software and accelerator technology, we conclude that
creating sustainable accelerated bioinformatics software means constructing a
sustainable bridge between the two fields. In particular, sustained
collaboration between domain developers and technology experts is needed to
develop the accelerated kernels, libraries, frameworks and middleware that
could provide the needed flexible link from NGS bioinformatics applications to
emerging platforms.
