Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation-Reference-Cited by-同舟云学术

Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation

Published:2023-06-14 Issue: Volume: Page:
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Container-title:Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
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Author:

Opdenhövel Jan-Oliver¹^ORCID,Plessl Christian¹^ORCID,Kenter Tobias¹^ORCID

Affiliation:

1. Paderborn Center for Parallel Computing, Paderborn University, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597031.3597050

Reference6 articles.

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4. Jack Kuipers , Katharina Jahn , Benjamin J Raphael , and Niko Beerenwinkel . 2017. Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors. Genome research 27, 11 ( 2017 ), 1885–1894. https://doi.org/10.1101/gr.220707.117 10.1101/gr.220707.117 Jack Kuipers, Katharina Jahn, Benjamin J Raphael, and Niko Beerenwinkel. 2017. Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors. Genome research 27, 11 (2017), 1885–1894. https://doi.org/10.1101/gr.220707.117

5. A Smith-Waterman Systolic Cell

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