Sequencing across species and across individuals is proceeding at a pace that far outstrips the capabilities of today’s computer technologies. Indeed, while genomic data are quadrupling every year, the available compute power can at best double each year. Further, many algorithmic approaches in bioinformatics rely on direct comparisons of nucleotide sequences and optimization combined with statistical techniques and probabilistic models that do not scale to the massive data. To achieve the biological and consequent healthcare breakthroughs promised by advances in genome sequencing, new and disruptive computing technologies must be developedBreakthroughs can be envisaged by considering how features of genomic data can inspire new computational methods. Such innovations can occur only with an interdisciplinary team of computer engineers and scientists working closely with genomic biologists and bioinformatics specialists. It is a challenge to arrive at novel computational paradigms that ...
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