title: Sequence accuracy of large DNA sequencing projects.
abstract: Very little information has been accumulated regarding the likely accuracy of final or consensus DNA sequence data. With the large-scale efforts anticipated for the Human Genome Project, the subjective determination of final sequence must eventually be replaced with more objective, automatic methods. This will require a much better understanding of the nature of error in raw sequencing data and its impact on the determination of the final sequence. This paper describes a start at defining the error model of large-scale sequencing efforts based on random subcloning strategies.
authors.affiliation: Division of Biology, California Institute of Technology, Pasadena 91125.
authors.forename: W Q
authors.initials: WQ
authors.lastname: Chen
authors.forename: T
authors.initials: T
authors.lastname: Hunkapiller
mesh_terms: D016384:Consensus Sequence; D015233:Models, Statistical; D015203:Reproducibility of Results; D017422:Sequence Analysis, DNA / Q000592:standards*