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TRIBES: A user-friendly pipeline for relatedness detection and disease gene discovery

View ORCID ProfileNatalie A. Twine, Piotr Szul, View ORCID ProfileLyndal Henden, View ORCID ProfileEmily P. McCann, View ORCID ProfileIan P. Blair, View ORCID ProfileKelly L. Williams, View ORCID ProfileDenis C. Bauer
doi: https://doi.org/10.1101/686253
Natalie A. Twine
1Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation, Sydney, New South Wales, Australia
2Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
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  • For correspondence: natalie.twine@csiro.au
Piotr Szul
3Data61, Dutton Park, Queensland, Australia
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Lyndal Henden
2Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
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Emily P. McCann
2Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
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Ian P. Blair
2Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
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Kelly L. Williams
2Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia
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Denis C. Bauer
1Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation, Sydney, New South Wales, Australia
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  • ORCID record for Denis C. Bauer
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Posted July 02, 2019.
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TRIBES: A user-friendly pipeline for relatedness detection and disease gene discovery
Natalie A. Twine, Piotr Szul, Lyndal Henden, Emily P. McCann, Ian P. Blair, Kelly L. Williams, Denis C. Bauer
bioRxiv 686253; doi: https://doi.org/10.1101/686253
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TRIBES: A user-friendly pipeline for relatedness detection and disease gene discovery
Natalie A. Twine, Piotr Szul, Lyndal Henden, Emily P. McCann, Ian P. Blair, Kelly L. Williams, Denis C. Bauer
bioRxiv 686253; doi: https://doi.org/10.1101/686253

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