title: Absent sequences: nullomers and primes.
abstract: We describe a new publicly available algorithm for identifying absent sequences, and demonstrate its use by listing the smallest oligomers not found in the human genome (human "nullomers"), and those not found in any reported genome or GenBank sequence ("primes"). These absent sequences define the maximum set of potentially lethal oligomers. They also provide a rational basis for choosing artificial DNA sequences for molecular barcodes, show promise for species identification and environmental characterization based on absence, and identify potential targets for therapeutic intervention and suicide markers.
authors.affiliation: Biology, Boise State University, 1910 N University Drive, Boise, Idaho 83725, USA.
authors.forename: Greg
authors.initials: G
authors.lastname: Hampikian
authors.forename: Tim
authors.initials: T
authors.lastname: Andersen
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D019295:Computational Biology; D004247:DNA / Q000235:genetics; D030541:Databases, Genetic; D015894:Genome, Human; D006801:Humans; D017421:Sequence Analysis / Q000706:statistics & numerical data; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*; D012984:Software
chemical_list: D004247:DNA