title: Estimating IBD tracts from low coverage NGS data.
abstract: The amount of IBD in an individual depends on the relatedness of the individual's parents. However, it can also provide information regarding mating system, past history and effective size of the population from which the individual has been sampled.
  
  
  
  Here, we present a new method for estimating inbreeding IBD tracts from low coverage NGS data. Contrary to other methods that use genotype data, the one presented here uses genotype likelihoods to take the uncertainty of the data into account. We benchmark it under a wide range of biologically relevant conditions and show that the new method provides a marked increase in accuracy even at low coverage.
  
  
  
  The methods presented in this work were implemented in C/C ++ and are freely available for non-commercial use from https://github.com/fgvieira/ngsF-HMM CONTACT: fgvieira@snm.ku.dk
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Centre for GeoGenetics, Natural History Museum of Denmark.
authors.forename: Filipe G
authors.initials: FG
authors.lastname: Vieira
authors.affiliation: Department of Biology, University of Copenhagen, Copenhagen, Denmark and.
authors.forename: Anders
authors.initials: A
authors.lastname: Albrechtsen
authors.affiliation: Department of Biology, University of Copenhagen, Copenhagen, Denmark and Department of Integrative Biology, University of California, Berkeley, USA.
authors.forename: Rasmus
authors.initials: R
authors.lastname: Nielsen
mesh_terms: D005838:Genotype; D060005:Genotyping Techniques; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D007178:Inbreeding; D012275:Oryza / Q000235:genetics; D017422:Sequence Analysis, DNA; D012984:Software