Journal article
FAVR (Filtering and Annotation of Variants that are Rare): Methods to facilitate the analysis of rare germline genetic variants from massively parallel sequencing datasets
BJ Pope, T Nguyen-Dumont, F Odefrey, F Hammet, R Bell, K Tao, SV Tavtigian, DE Goldgar, A Lonie, MC Southey, DJ Park
BMC Bioinformatics | BIOMED CENTRAL LTD | Published : 2013
Abstract
Background: Characterising genetic diversity through the analysis of massively parallel sequencing (MPS) data offers enormous potential to significantly improve our understanding of the genetic basis for observed phenotypes, including predisposition to and progression of complex human disease. Great challenges remain in resolving genetic variants that are genuine from the millions of artefactual signals.Results: FAVR is a suite of new methods designed to work with commonly used MPS analysis pipelines to assist in the resolution of some of the issues related to the analysis of the vast amount of resulting data, with a focus on relatively rare genetic variants. To the best of our knowledge, no..
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Grants
Awarded by State Government of Victoria
Funding Acknowledgements
This work was supported by the Cancer Council Victoria (Grant ID 628774) and National Institute of Health, R01CA155767, The Australian National Health and Medical Research Council (NHMRC; Grant ID 466668 and APP1025145) and by a Victorian Life Sciences Computation Initiative (VLSCI) grant number VR0053 on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government. MCS is a NHMRC Senior Research Fellow and Victorian Breast Cancer Research Consortium (VBCRC) Group Leader. TN-D is a Susan G. Komen for the Cure Postdoctoral Fellow.