Journal article

Canary: An atomic pipeline for clinical amplicon assays

KD Doig, J Ellul, A Fellowes, ER Thompson, G Ryland, P Blombery, AT Papenfuss, SB Fox

BMC Bioinformatics | BIOMED CENTRAL LTD | Published : 2017

Open access

Abstract

Background: High throughput sequencing requires bioinformatics pipelines to process large volumes of data into meaningful variants that can be translated into a clinical report. These pipelines often suffer from a number of shortcomings: they lack robustness and have many components written in multiple languages, each with a variety of resource requirements. Pipeline components must be linked together with a workflow system to achieve the processing of FASTQ files through to a VCF file of variants. Crafting these pipelines requires considerable bioinformatics and IT skills beyond the reach of many clinical laboratories. Results: Here we present Canary, a single program that can be run on a l..

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Grants

Awarded by National Health and Medical Research Council


Funding Acknowledgements

This research was supported by the Laby Foundation, The Peter Mac Foundation, Therapeutics Innovation Australia and a National Health and Medical Research Council (NHMRC) Program Grant (1054618). The research benefitted by support from the Victorian State Government Operational Infrastructure Support and Australian Government NHMRC Independent Research Institute Infrastructure Support.