A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Gagandeep Singh; Mohammed Alser; Alireza Khodamoradi; Kristof Denolf; Can Firtina; Meryem Banu Cavlak; Henk Corporaal; Onur Mutlu

doi:10.1101/2022.11.20.517297

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A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

View ORCID ProfileGagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu

doi: https://doi.org/10.1101/2022.11.20.517297

Gagandeep Singh

aETH Zürich

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ORCID record for Gagandeep Singh
For correspondence: gagan.posted@gmail.com

Mohammed Alser

aETH Zürich

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Alireza Khodamoradi

bAMD

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Kristof Denolf

bAMD

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Can Firtina

aETH Zürich

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Meryem Banu Cavlak

aETH Zürich

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Henk Corporaal

cEindhoven University of Technology

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Onur Mutlu

aETH Zürich

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https://bridges.monash.edu/articles/dataset/Raw_fast5s/7676174
https://bridges.monash.edu/articles/dataset/Reference_genomes/7676135

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Posted December 08, 2022.

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A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu

bioRxiv 2022.11.20.517297; doi: https://doi.org/10.1101/2022.11.20.517297

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A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu

bioRxiv 2022.11.20.517297; doi: https://doi.org/10.1101/2022.11.20.517297

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