Comparative Analysis of Clustering Methodologies in DNA Storage-Reference-Cited by-同舟云学术

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Comparative Analysis of Clustering Methodologies in DNA Storage

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
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Author:

Sankar Subhasiny¹,Wang Yixin¹,Jiayu Zhang¹,Sabrina Nur¹,Gunawan Erry¹,Guan Yong Liang¹,Md. Noor-A-Rahim²,Poh Chueh Loo³

Affiliation:

1. Nanyang Technological University (NTU),School of Electrical and Electronic Engineering (EEE),Singapore

2. University College,Cork,Ireland

3. National University of Singapore (NUS),Department of Biomedical Engineering,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049327.pdf?arnumber=10049327

Reference18 articles.

1. Meshclust: an intelligent tool for clustering dna sequences;benjamin;Nucleic Acids Research,2018

2. Starcode: sequence clustering based on all-pairs search

3. Oligo Design with Single Primer Binding Site for High Capacity DNA-Based Data Storage

4. SlideSort: all pairs similarity search for short reads

5. uclust-a new algorithm for clustering unstructured data;prasad,2006

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GradHC: highly reliable gradual hash-based clustering for DNA storage systems;Bioinformatics;2024-04-22

2. Efficient data reconstruction: The bottleneck of large-scale application of DNA storage;Cell Reports;2024-04

3. GradHC: Highly Reliable Gradual Hash-based Clustering for DNA Storage Systems;2023-10-06

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