Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance
- DOI
- 10.1371/journal.pone.0221235
- Published
- 2019-09-12
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0221235,
title = {Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance},
author = {Hanane Omichessan and Gianluca Severi and Vittorio Perduca},
year = {2019},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0221235},
url = {https://doi.org/10.1371/journal.pone.0221235}
}RIS
TY - JOUR TI - Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance AU - Hanane Omichessan AU - Gianluca Severi AU - Vittorio Perduca PY - 2019 JO - PLOS ONE DO - 10.1371/journal.pone.0221235 UR - https://doi.org/10.1371/journal.pone.0221235 ER -
APA
Omichessan, H., Severi, G., & Perduca, V. (2019). Computational tools to detect signatures of mutational processes in DNA from tumours: A review and empirical comparison of performance. PLOS ONE. https://doi.org/10.1371/journal.pone.0221235
Source records
- crossref · retrieved 2026-11-10T10:32:57.992Z