Data from: A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods
- DOI
- 10.6076/d1530h
- Published
- 2023
- Container
- Not recorded
- Publisher
- Dryad
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.6076/d1530h,
title = {Data from: A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods},
author = {Zhang, Chao and Bzikadze, Andrey V. and Safonova, Yana and Mirarab, Siavash},
year = {2023},
doi = {10.6076/d1530h},
url = {https://doi.org/10.6076/d1530h}
}RIS
TY - JOUR TI - Data from: A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods AU - Zhang, Chao AU - Bzikadze, Andrey V. AU - Safonova, Yana AU - Mirarab, Siavash PY - 2023 DO - 10.6076/d1530h UR - https://doi.org/10.6076/d1530h ER -
APA
Chao, Z., V., B. A., Yana, S., & Siavash, M. (2023). Data from: A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods. https://doi.org/10.6076/d1530h
Source records
- datacite · retrieved 2026-09-25T03:16:30.021Z