Journal article

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

University of Melbourne Researchers

Grants

Awarded by UK Biotechnology and Biological Sciences Research Council (BBSRC)


Awarded by Biotechnology and Biological Sciences Research Council


Funding Acknowledgements

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.