Aarhus University Seal

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

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Paula Tataru, Denmark
  • Jasmine A Nirody, University of California at Berkeley, United States
  • Yun S Song, University of California at Berkeley, United States
Summary: We present a tool, diCal-IBD, for detecting identity-bydescent (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 SNP-based IBD detection methods, while retaining reasonable accuracy for IBD tracts as small as 0.1 cM.
Availability: http://sourceforge.net/projects/dical-ibd
Contact: yss@eecs.berkeley.edu
Supplementary Information: Available at the journal’s website.
Original languageEnglish
Pages (from-to) 3430-3431
Number of pages2
Publication statusPublished - 21 Aug 2014

See relations at Aarhus University Citationformats


ID: 81151297