  Being able to store and transmit human genome sequences is an important part
in genomic research and industrial applications. The complete human genome has
3.1 billion base pairs (haploid), and storing the entire genome naively takes
about 3 GB, which is infeasible for large scale usage.
  However, human genomes are highly redundant. Any given individual's genome
would differ from another individual's genome by less than 1%. There are tools
like DNAZip, which express a given genome sequence by only noting down the
differences between the given sequence and a reference genome sequence. This
allows losslessly compressing the given genome to ~ 4 MB in size.
  In this work, we demonstrate additional improvements on top of the DNAZip
library, where we show an additional ~ 11% compression on top of DNAZip's
already impressive results. This would allow further savings in disk space and
network costs for transmitting human genome sequences.
