A computer product and system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of an organism's background associated with a genetic sequence of the organism; receiving an input of rank of at least two identified characteristics of the genetic sequence; generating a hierarchy of ranked, identified characteristics based on the rank of the identified characteristics; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the ranked characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from the matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism. The differences from the comparison are used to create surprisal data representing an entire genome of the organism.