cnvHiTSeq: integrative models for high-resolution copy number variation detection and genotyping using population sequencing data
Evangelos Bellos, Michael R Johnson, Lachlan JM Coin
Genome Biology | BMC | Published : 2012
Awarded by UK Biotechnology and Biological Sciences Research Council (BBSRC)
Awarded by Biotechnology and Biological Sciences Research Council
This study makes use of publicly available data generated by the 1000 Genomes Project. We also acknowledge the Genome Structural Variation Consortium (PIs Nigel Carter, Matthew Hurles, Charles Lee and Stephen Scherer) for pre-publication access to their CNV discovery and genotyping data. This work was supported by grant BB/H024808/1 from the UK Biotechnology and Biological Sciences Research Council (BBSRC). The authors would also like to thank Simon Burbidge of the Imperial College High Performance Computing Service for his assistance.