Base-Calling of Automated Sequencer Traces UsingPhred. I. Accuracy Assessment

Base-calling of automated sequencer traces using phred. I. Accuracy assessment.

The availability of massive amounts of DNA sequence information has begun to revolutionize the practice of biology. As a result, current large-scale sequencing output, while impressive, is not adequate to keep pace with growing demand and, in particular, is far short of what will be required to obtain the 3-billion-base human genome sequence by the target date of 2005. To reach this goal, impro...

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

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 prob...

Dynamic range of fluorescence detection and base-calling accuracy in DNA sequencer based on single-photon counting.

Recently, we developed a family of high-performance automated capillary DNA sequencing instruments based on a single-photon detection of fluorescently labeled DNA fragments. Our machines employ digital and broadband techniques, essential for achieving superior instrument sensitivity and dynamic range. In the present paper, we discuss limitations of the instrument's performance caused by the non...

An Intelligent System for Automated DNA Base Calling

The application of numerical estimates of base calling accuracy to DNA sequencing projects.

During DNA sequencing projects one of the most labour intensive and highly skilled tasks is to view the original trace descriptions of gels and to adjudicate between conflicting readings. Given the current methods of calculating a consensus, the majority of the time employed in viewing traces and editing readings is actually devoted to making the poorer data fit the good data. We propose new co...