Parallel Implementation of String-Based Clustering for HT-SELEX Data

Kato, Shintaro and Ono, Takayoshi and Ito, Masaki and Ito, Koichi and Minagawa, Hirotaka and Horii, Katsunori and Shiratori, Ikuo and Waga, Iwao and Aoki, Takafumi (2020) Parallel Implementation of String-Based Clustering for HT-SELEX Data. EAI Endorsed Transactions on Bioengineering and Bioinformatics.

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Abstract

INTRODUCTION: A clustering method for HT-SELEX is crucial for selecting different types of aptamer candidates. We have developed FSBC method for HT-SELEX data implemented in R. FSBC exhibited the highest accuracy of sequence clustering compared with conventional methods, w

Item Type: Article
Date Deposited: 04 Mar 2026 14:06
Last Modified: 11 Apr 2026 20:26
URI: http://eprints.eai.eu/id/eprint/33174

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