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Updated: Aug 1, 2026
14:06
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Minimally selected p and other tests for a single abrupt changepoint in a binary sequence
1Department of Molecular Genetics and Microbiology, Health Sciences Center, University of New Mexico, Albuquerque 87131, USA. ahalpern@ender.unm.edu
Biometrics
|April 21, 2001
Summary
A new statistical test using Fisher's Exact Test identifies genetic sequence changes. This method efficiently detects recombination in HIV genetic sequences.
Area of Science:
- Genetics
- Statistics
- Bioinformatics
Background:
- Detecting changes in genetic sequences is crucial for understanding disease evolution.
- Fisher's Exact Test is a statistical method used for analyzing categorical data.
Purpose of the Study:
- Introduce a novel changepoint statistic based on Fisher's Exact Test.
- Evaluate the performance of this new statistic in detecting recombination in HIV genetic sequences.
Main Methods:
- Developed a changepoint statistic using the minimum value of Fisher's Exact Test across possible locations.
- Calculated exact distribution points using lattice-path counting and recurrence methods.
- Compared the new test against Kolmogorov-Smirnov, chi-square, and likelihood ratio tests.
Main Results:
- The novel statistic provides a method for changepoint detection.
- The test is applicable to analyzing recombination in HIV genetic sequences.
- Demonstrated efficient calculation of exact distribution points.
Conclusions:
- The introduced changepoint statistic offers a new tool for genetic sequence analysis.
- This method is effective for identifying recombination events in viral genetic data.
- The computational approach allows for rapid calculation of statistical significance.
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