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Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data

View ORCID ProfileSimone Zaccaria, View ORCID ProfileBenjamin J. Raphael
doi: https://doi.org/10.1101/496174
Simone Zaccaria
1Department of Computer Science, Princeton University, Princeton, NJ 08540
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Benjamin J. Raphael
1Department of Computer Science, Princeton University, Princeton, NJ 08540
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  • For correspondence: braphael@princeton.edu
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Article Information

doi 
https://doi.org/10.1101/496174
History 
  • December 17, 2018.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Simone Zaccaria1 and
  2. Benjamin J. Raphael1,*
  1. 1Department of Computer Science, Princeton University, Princeton, NJ 08540
  1. ↵*Correspondence: braphael{at}princeton.edu
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Posted December 17, 2018.
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Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
Simone Zaccaria, Benjamin J. Raphael
bioRxiv 496174; doi: https://doi.org/10.1101/496174
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Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
Simone Zaccaria, Benjamin J. Raphael
bioRxiv 496174; doi: https://doi.org/10.1101/496174

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