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ABSTRACT: Background
Meiotic recombination hotspots play important roles in various aspects of genomics, but the underlying mechanisms for regulating the locations and strengths of recombination hotspots are not yet fully revealed. Most existing algorithms for estimating recombination rates from sequence polymorphism data can only output average recombination rates of a population, although there is evidence for the heterogeneity in recombination rates among individuals. For genome-wide association studies (GWAS) of recombination hotspots, an efficient algorithm that estimates the individualized strengths of recombination hotspots is highly desirable.Results
In this work, we propose a novel graph mining algorithm named ARG-walker, based on random walks on ancestral recombination grap
SUBMITTER: Chen H
PROVIDER: S-EPMC4682399 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature