Author

Sierra Gillis

BC Cancer AgencyORCID 0000-0002-3418-4958Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Andrew J. L. RothiD· 1 shared Bruno M. GrandeiD· 1 shared Christian SteidliD· 1 shared Christopher K. RushtoniD· 1 shared David William ScottiD· 1 shared Giuliano Banco· 1 shared Haya Shaalan· 1 shared Helena K. WinataiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Andrew J. L. RothORCID

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2 papers

Recent·Most cited

LCR-modules: a collection of workflows for cancer genome analysis

Kostiantyn Dreval, Laura K. Hilton, Bruno M. Grande, Giuliano Banco, Krysta Mila Coyle, Manuela Cruz, Sierra Gillis, Luke Klossok, Prasath Pararajalingam, Christopher K. Rushton, Haya Shaalan, Nicole Thomas, Helena K. Winata, Jasper Wong, Jacky Chun Hei Yiu, , Ryan D. Morin

LCR-modules provides a flexible, automated suite of workflows for cancer genome analysis, supporting diverse sequencing types and enabling reproducible, scalable analysis of over 10,800 samples.

Bioinformatics · Jun 1, 2026Peer-reviewedBioinformatics

PyClone-VI: Scalable inference of clonal population structures using whole genome data

Sierra Gillis, Andrew J. L. Roth

PyClone-VI infers cancer clonal structures from whole genome data efficiently and accurately, validated on PCAWG and TRACERx datasets.

BMC Bioinformatics · Dec 1, 2020Peer-reviewedBioinformatics