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Updated: Apr 28, 2026

Single Cell Micro-aspiration as an Alternative Strategy to Fluorescence-activated Cell Sorting for Giant Virus Mixture Separation
Published on: October 27, 2019
Clustering of giant virus-DNA based on variations in local entropy
Ranjan Bose1, Gerhard Thiel2, Kay Hamacher3
1Department of Electrical Engineering, IIT Delhi, Hauz Khas, New Delhi 110016, India. rbose.iitd@gmail.com.
Abstract:
We present a method for clustering genomic sequences based on variations in local entropy. We have analyzed the distributions of the block entropies of viruses and plant genomes. A distinct pattern for viruses and plant genomes is observed. These distributions, which describe the local entropic variability of the genomes, are used for clustering the genomes based on the Jensen-Shannon (JS) distances. The analysis of the JS distances between all genomes that infect the chlorella algae shows the host specificity of the viruses. We illustrate the efficacy of this entropy-based clustering technique by the segregation of plant and virus genomes into separate bins.
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