title: Artificially generated data sets for testing DNA sequence assembly algorithms.
abstract: We have developed a set of tools, genfrag, to fragment and optionally mutate a DNA sequence to generate benchmark data sets for testing DNA sequence assembly algorithms. Data parameters can be systematically and independently varied to explore the range of data--and corresponding performance of assembly tools--encountered on large-scale random, or "shot-gun," sequencing projects.
authors: Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, New Mexico 87545.
authors: M L
authors: ML
authors: Engle
authors: C
authors: C
authors: Burks
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D004247:DNA / Q000235:genetics; D005069:Evaluation Studies as Topic; D006801:Humans; D008285:Major Histocompatibility Complex; D008969:Molecular Sequence Data; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*; D012984:Software
chemical_list: D004247:DNA