ProbHD

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Application data

Created by Mathieu Blanchette
Biological application domain(s) Population genetics, SNP detection
Created at McGill University
Maintained? No
Programming language(s) Perl, R, Python

Summary: We present a new strategy for identifying heterozygous sites in a single individual by using a machine learning approach that generates a heterozygosity score for each chromosomal position. Our approach also facilitates the identification of regions with unequal representation of two alleles and other poorly sequenced regions. The availability of confidence scores allows for a principled combination of sequencing results from multiple samples.

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Links


References

  1. . 2009. Genome Research


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