Genome Research · 1998 · 5.5K citations · 8 references
EngineeringGeneticsMolecular GeneticsGenomicsSoftware AnalysisHigh Throughput SequencingError ProbabilitiesData Processing BottleneckDna SequencingSequence AnalysisComputer ScienceSequencingFunctional GenomicsBioinformaticsLong-read SequencingProgram AnalysisNext-generation SequencingComputational BiologyAssembly Program PhrapParallel ProgrammingMicrobiologySystems BiologyMedicineGenome EditingSequence Assembly
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.
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Base-Calling of Automated Sequencer Traces Using<i>Phred.</i> I. Accuracy Assessment
Brent Ewing, LaDeana Hillier, Michael C. Wendl et al. · Genome Research · 1998 · 7K citations · Full text
<i>Consed:</i> A Graphical Tool for Sequence Finishing
David Gordon, Chris Abajian, Phil Green · Genome Research · 1998 · 3.3K citations · Full text
Linda G. Lee, Charles R. Connell, Sam L. Woo et al. · Nucleic Acids Research · 1992 · 171 citations · Full text
AmpliTaq <sup>®</sup> DNA Polymerase, FS Dye-Terminator Sequencing: Analysis of Peak Height Patterns
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