PBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers

@article{Nato2015PBAPAP,
  title={PBAP: a pipeline for file processing and quality control of pedigree data with dense genetic markers},
  author={Alejandro Q. Nato and Nicola H. Chapman and Harkirat K. Sohi and Hiep D. Nguyen and Zoran Brkanac and Ellen M. Wijsman},
  journal={Bioinformatics},
  year={2015},
  volume={31 23},
  pages={3790-8}
}
MOTIVATION Huge genetic datasets with dense marker panels are now common. With the availability of sequence data and recognition of importance of rare variants, smaller studies based on pedigrees are again also common. Pedigree-based samples often start with a dense marker panel, a subset of which may be used for linkage analysis to reduce computational burden and to limit linkage disequilibrium between single-nucleotide polymorphisms (SNPs). Programs attempting to select markers for linkage… CONTINUE READING
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