Author

PCAWG Evolution and Heterogeneity Working Group

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Biology Disciplines

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Cancer Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

F. Markowetz· 2 shared A. M. Leroi· 1 shared A. T. Papenfuss· 1 shared Amit Deshwar· 1 shared C. M. Hovens· 1 shared C. S. Ong· 1 shared Caitlin F Harrigan· 1 shared D. C. Wedge· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

F. Markowetz

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3 papers

Recent·Most cited

Cancer BiologyNature CommunicationsPeer-reviewedFeb 5, 2020

SVclone: inferring structural variant cancer cell fraction

M. Cmero, C. S. Ong, K. Yuan…·G. Macintyre

SVclone infers cancer cell fractions of structural variant breakpoints from whole-genome sequencing data and identifies subclonal copy-number neutral rearrangements linked to decreased survival in certain cancers.

DOI 10.1038/s41467-020-14351-8

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 30, 2019

TrackSig: reconstructing evolutionary trajectories of mutations in cancer

Yulia Rubanova, Ruian Shi, Caitlin F Harrigan…·PCAWG network

TrackSig estimates mutation evolutionary trajectories from bulk tumor sequencing data, showing improved accuracy in detecting subclonal populations and signature activity changes compared to baseline methods.

6 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

Cancer BiologybioRxivJul 23, 2018

Neutral tumor evolution?

M. Tarabichi, I. Martincorena, M. Gerstung…·PCAWG Evolution and Heterogeneity Working Group

The paper explores tumor evolution through subclonal analysis and discusses the role of driver and passenger mutations in cancer progression.

DOI 10.1038/s41588-018-0258-x

𝕏 PostBluesky