Today, storage of genome sequence data relies heavily on compression, using techniques such as Lempil ziv and gziv, which is commonly stored in the .BAM or .SAM file format. Current techniques use standard reference genomes, such as HG19, compiled from a variety of human genomes (For example: http://genome.ucsc.edu/FAQ/FAQreleases.html). The results of many small reads are aligned and stored along with their quality data stores. The impact of whole genome sequencing, particularly in clinical treatment of cancer, will rapidly consume available storage. In 2010, 13M Americans had cancer. With existing technology, a single whole genome sequence for each person would be 39 exabyte’s (39,000 petabytes, 39 million terabytes or 39 billion gigabytes). There simply isn't a storage system that large; since storage capacity only grows at a rate of less than 20% per year.