Unbiased mining tool of repetitive elements and their arrangement structure for large size genomes

Genes are reported to constitute only 2~3% of the human genome, whereas repetitive elements (REs) make up a large portion of genomes of human and other eukaryotes. However, existing algorithms or tools for identification of REs as well as biological researches focus on the known specific REs. Thus, we design and implement a tool for unbiased mining of REs for large size genomes, called REMiner, in this paper. REMiner provides fast computation with low memory usage for the huge size of input genomic data. We show some interesting repeat patterns of the human chromosomes, which have not yet been reported. This chromosome-wide survey of complex, but highly-ordered RE array, will provide a foundation for a novel investigation into the genome.