DNA sequencing by hybridization is potentially a powerful alternative to standard gel electrophoresis techniques.An important
aspect of the approach is the design of the probing scheme and of the associated sequence reconstruction algorithm.Recen tly
a novel probing scheme, whose performance is within a constant factor of the information theory bound, has settled the issue
of asymptotic optimality.Thus, the research focus has shifted to the ?ne tuning of actual performance, with enormous potential
for the life sciences.In this paper we discuss a new algorithmic device, called voting upon failure, which, exploiting the
knowledge acquired in the course of the sequence reconstruction process, achieves typically a 20% performance improvement
over the previous best technique, and comes at 90%-con?dence within a factor 0.5 of the information-theory bound.
This work was partially supported by the National Science Foundation under Grant