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Accurate and sensitive mutational signature analysis with MuSiCal

Hu Jin, Doga C. Gulhan, Benedikt Geiger, Daniel Ben-Isvy, David Geng, Viktor Ljungstrom, Peter J. Park
doi: https://doi.org/10.1101/2022.04.21.489082

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doi 
https://doi.org/10.1101/2022.04.21.489082
History 
  • December 7, 2023.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Hu Jin1,†,
  2. Doga C. Gulhan1,†,
  3. Benedikt Geiger1,
  4. Daniel Ben-Isvy1,
  5. David Geng1,
  6. Viktor Ljungstrom1 and
  7. Peter J. Park1,*
  1. 1Department of Biomedical Informatics, Harvard Medical School, Boston, 02115, MA, USA
  1. ↵*Corresponding author(s). E-mail(s): peter park{at}hms.harvard.edu;

  1. ↵† These authors contributed equally to this work.

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Posted December 07, 2023.
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Accurate and sensitive mutational signature analysis with MuSiCal
Hu Jin, Doga C. Gulhan, Benedikt Geiger, Daniel Ben-Isvy, David Geng, Viktor Ljungstrom, Peter J. Park
bioRxiv 2022.04.21.489082; doi: https://doi.org/10.1101/2022.04.21.489082
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