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PMID: 9521922 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Base-calling of automated sequencer traces using phred. II. Error probabilities.

Genome research ·Vol. 8 ·No. 3 ·1998-03-00 ·Pages 186-94

Ewing B, Green P

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.

MeSH Terms
Base Sequence Chimera Cloning, Molecular/methods Data Interpretation, Statistical Discriminant Analysis Genetic Vectors Human Genome Project Humans Probability Quality Control Reproducibility of Results Sequence Analysis, DNA/methods,standards,statistics & numerical data Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ewing B
Department of Molecular Biotechnology, University of Washington, Seattle, Washington 98195-7730, USA.
Green P
Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
Published
1998-03-00
Pages
186-94
Language
English
Region
United States
NLM ID
9518021
Subset
IM
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