  The fall of prices of the high-throughput genome sequencing changes the
landscape of modern genomics. A number of large scale projects aimed at
sequencing many human genomes are in progress. Genome sequencing also becomes
an important aid in the personalized medicine. One of the significant side
effects of this change is a necessity of storage and transfer of huge amounts
of genomic data. In this paper we deal with the problem of compression of large
collections of complete genomic sequences. We propose an algorithm that is able
to compress the collection of 1092 human diploid genomes about 9,500 times.
This result is about 4 times better than what is offered by the other existing
compressors. Moreover, our algorithm is very fast as it processes the data with
speed 200MB/s on a modern workstation. In a consequence the proposed algorithm
allows storing the complete genomic collections at low cost, e.g., the examined
collection of 1092 human genomes needs only about 700MB when compressed, what
can be compared to about 6.7 TB of uncompressed FASTA files. The source code is
available at
http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&project=gdc&subpage=about.
