Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data
Author:
Affiliation:
1. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
2. Department of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, Milan, Italy.
Publisher
Mary Ann Liebert Inc
Subject
Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation
Link
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2022.0424
Reference45 articles.
1. Combinatorial trace method for network immunization
2. PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
3. Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
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