RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

6 November 2022

Papers citing "RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers"

5 / 5 papers shown

Title
Enhancing Downstream Analysis in Genome Sequencing: Species Classification While Basecalling Riselda Kodra Hadjer Benmeziane I. Boybat William Andrew Simon 23 0 0 09 Apr 2025
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections Lingxiao Yin Wei Tao Dongyue Zhao Tadayuki Ito Kinya Osa Masami Kato Tse-Wei Chen 38 0 0 24 Dec 2024
TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering Meryem Banu Cavlak Gagandeep Singh M. Alser Can Firtina Joel Lindegger Mohammad Sadrosadati Nika Mansouri-Ghiasi C. Alkan O. Mutlu 32 10 0 09 Dec 2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning Gagandeep Singh Rakesh Nadig Jisung Park Rahul Bera Nastaran Hajinazar D. Novo Juan Gómez Luna S. Stuijk Henk Corporaal O. Mutlu 65 33 0 15 May 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016