title: diCal-IBD: demography-aware inference of identity-by-descent tracts in unrelated individuals.
abstract: 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 single-nucleotide polymorphism-based IBD detection methods, while retaining reasonable accuracy for IBD tracts as small as 0.1 cM.
  
  
  BACKGROUND
  http://sourceforge.net/projects/dical-ibd.
authors.affiliation: Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark, Biophysics Graduate Group, Computer Science Division, Department of Statistics and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA.
authors.forename: Paula
authors.initials: P
authors.lastname: Tataru
authors.affiliation: Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark, Biophysics Graduate Group, Computer Science Division, Department of Statistics and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA.
authors.forename: Jasmine A
authors.initials: JA
authors.lastname: Nirody
authors.affiliation: Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark, Biophysics Graduate Group, Computer Science Division, Department of Statistics and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark, Biophysics Graduate Group, Computer Science Division, Department of Statistics and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA Bioinformatics Research Centre, Department of Computer Science, Aarhus University, 8000 Aarhus C, Denmark, Biophysics Graduate Group, Computer Science Division, Department of Statistics and Department of Integrative Biology, University of California, Berkeley, CA 94720, USA.
authors.forename: Yun S
authors.initials: YS
authors.lastname: Song
mesh_terms: D003710:Demography; D005828:Genetics, Population / Q000379:methods; D023281:Genomics / Q000379:methods*; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D012984:Software