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Base-Calling of Automated Sequencer Traces Using <i>Phred.</i> II. Error Probabilities

Genome Research · 1998 · Vol. 8(3) · pp. 186–194
Brent EwingPhil Green

Abstract

Elimination of the data processing bottleneck in high-throughput sequencing will require both improved accuracy of data processing software and reliable measures of that accuracy. We have developed and implemented in our base-calling program phred the ability to estimate a probability of error for each base-call, as a function of certain parameters computed from the trace data. These error probabilities are shown here to be valid (correspond to actual error rates) and to have high power to discriminate correct base-calls from incorrect ones, for read data collected under several different chemistries and electrophoretic conditions. They play a critical role in our assembly program phrap and our finishing program consed.

Genomics and Phylogenetic StudiesGene expression and cancer classificationMicrofluidic and Capillary Electrophoresis ApplicationsBottleneckBase (topology)SoftwareComputer scienceBiologyFunction (biology)TRACE (psycholinguistics)Word error rateAlgorithmArtificial intelligence

MeSH terms

Base SequenceChimeraCloning, MolecularData Interpretation, StatisticalGenetic VectorsHumansProbabilityQuality ControlSoftwareReproducibility of ResultsDiscriminant AnalysisHuman Genome ProjectSequence Analysis, DNA

Funding

  • National Human Genome Research Institute
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