YFitter: Maximum likelihood assignment of Y chromosome haplogroups from low-coverage sequence data

نویسندگان

  • Luke Jostins
  • Yali Xu
  • Shane McCarthy
  • Qasim Ayub
  • Richard Durbin
  • Jeff Barrett
  • Chris Tyler-Smith
چکیده

Low-coverage short-read resequencing experiments have the potential to expand our understanding of Y chromosome haplogroups. However, the uncertainty associated with these experiments mean that haplogroups must be assigned probabilistically to avoid false inferences. We propose an efficient dynamic programming algorithm that can assign haplogroups by maximum likelihood, and represent the uncertainty in assignment. We apply this to both genotype and low-coverage sequencing data, and show that it can assign haplogroups accurately and with high resolution. The method is implemented as the program YFitter, which can be downloaded from http://sourceforge.net/projects/yfitter/

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تاریخ انتشار 2014