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.
Keywords
BottleneckBase (topology)SoftwareComputer scienceBiologyFunction (biology)TRACE (psycholinguistics)Word error rateAlgorithmArtificial intelligenceGeneticsMathematicsProgramming languageEmbedded system
MeSH Terms
Base SequenceChimeraCloningMolecularData InterpretationStatisticalDiscriminant AnalysisGenetic VectorsHuman Genome ProjectHumansProbabilityQuality ControlReproducibility of ResultsSequence AnalysisDNASoftware
Affiliated Institutions
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Publication Info
- Year
- 1998
- Type
- article
- Volume
- 8
- Issue
- 3
- Pages
- 186-194
- Citations
- 5469
- Access
- Closed
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Cite This
Brent Ewing,
Phil Green
(1998).
Base-Calling of Automated Sequencer Traces Using <i>Phred.</i> II. Error Probabilities.
Genome Research
, 8
(3)
, 186-194.
https://doi.org/10.1101/gr.8.3.186
Identifiers
- DOI
- 10.1101/gr.8.3.186
- PMID
- 9521922