SHEAR: Sample Heterogeneity Estimation and Assembly by Reference

SHEAR is a tool for next-generation sequencing data analysis that predicts SVs, accounts for heterogeneous variants by estimating their representative percentages, and generates personal genomic sequences to be used for downstream analysis. By utilizing structural variant detection algorithms, SHEAR also offers improved performance in the form of a stronger ability to handle difficult structural variant types and improved computational efficiency.

For more information, please refer to our article in BMC Genomics.

Please contact landman@cs.umn.edu with any questions, comments, or concerns.

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