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diCal-IBD: demography-aware inference of identity-by-descent tracts in unrelated individuals

Paula Tataru, Jasmine A. Nirody, Yun S. Song
doi: https://doi.org/10.1101/005082
Paula Tataru
1Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark
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Jasmine A. Nirody
2Biophysics Graduate Group,
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Yun S. Song
3Computer Science Division,
4Department of Statistics,
5Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
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ABSTRACT

Summary: We present a tool, diCal-IBD, for detecting identity-by-descent (IBD) tracts between pairs of genomic sequences. Our method builds on a recent demographic inference method based on the coalescent with recombination, and is able to incorporate demographic information as a prior. Simulation study shows that diCal-IBD has significantly higher recall and precision than that of existing IBD detection methods, while retaining reasonable accuracy for IBD tracts as small as 0.1 cM.

Availability: http://sourceforge.net/p/dical-ibd

Contact: yss{at}eecs.berkeley.edu

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 03, 2014.
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diCal-IBD: demography-aware inference of identity-by-descent tracts in unrelated individuals
Paula Tataru, Jasmine A. Nirody, Yun S. Song
bioRxiv 005082; doi: https://doi.org/10.1101/005082
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diCal-IBD: demography-aware inference of identity-by-descent tracts in unrelated individuals
Paula Tataru, Jasmine A. Nirody, Yun S. Song
bioRxiv 005082; doi: https://doi.org/10.1101/005082

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